// useAudioSpeak.js
import { ref } from 'vue'

/**
 * TTS语音合成Hook
 * @param {Object} config - TTS配置
 * @param {string} config.apiUrl - 语音合成API地址
 * @param {number} config.maxSegmentLength - 最大分段长度
 * @returns {Object} TTS相关方法和状态
 */
export const useAudioSpeak = (config = {}) => {
  const {
    apiUrl = 'http://39.98.44.136:19527/synthesize',
    maxSegmentLength = 30
  } = config

  // 状态
  const isSpeaking = ref(false)
  const isPaused = ref(false)
  const isLoading = ref(false)
  
  // 播放状态
  const currentText = ref('')
  const currentSegmentIndex = ref(0)
  const totalSegments = ref(0)
  const progress = ref(0)
  
  // 音频相关
  let audioContext = null
  let audioSource = null
  let audioQueue = [] // 播放队列 [{blob, segmentIndex, text, isMerged?}, ...]
  let isPlayingQueue = false
  let isCancelled = false
  let segments = []
  let allRequestsCompleted = false
  let pendingMergeSegments = [] // 存储所有片段的原始数据 [{arrayBuffer, segmentIndex}]
  let firstSegmentHeader = null
  let lastPlayedIndex = -1
  let currentPlayingIndex = -1 // 当前正在播放的片段索引

  // 按标点分割文本
  const splitTextByPunctuation = (text) => {
    const segments = []
    const punctuation = /[，。！？；！?;\n]/g
    let lastIndex = 0
    
    while (true) {
      const match = punctuation.exec(text)
      if (!match) break
      
      const isChinesePunctuation = /[，。！？；]/.test(match[0])
      const endIndex = isChinesePunctuation ? match.index + 1 : match.index
      
      const segment = text.substring(lastIndex, endIndex)
      if (segment.trim()) {
        segments.push(segment.trim())
      }
      lastIndex = endIndex
    }
    
    const lastSegment = text.substring(lastIndex)
    if (lastSegment.trim()) {
      segments.push(lastSegment.trim())
    }
    
    return segments
  }

  // 预处理文本
  const preprocessText = (text) => {
    if (!text || typeof text !== 'string') return []
    
    const cleanText = text.replace(/\s+/g, ' ').trim()
    let segments = splitTextByPunctuation(cleanText)
    
    const finalSegments = []
    segments.forEach(segment => {
      if (segment.length <= maxSegmentLength) {
        finalSegments.push(segment)
      } else {
        for (let i = 0; i < segment.length; i += maxSegmentLength) {
          finalSegments.push(segment.substring(i, i + maxSegmentLength))
        }
      }
    })
    
    return finalSegments.filter(seg => seg && seg.trim())
  }

  // 检测WAV头部大小
  const detectWavHeaderSize = (arrayBuffer) => {
    try {
      const header = new Uint8Array(arrayBuffer.slice(0, 100))
      
      if (header[0] === 0x52 && header[1] === 0x49 && header[2] === 0x46 && header[3] === 0x46) {
        for (let i = 36; i < 60; i++) {
          if (header[i] === 0x64 && header[i+1] === 0x61 && header[i+2] === 0x74 && header[i+3] === 0x61) {
            return i + 8
          }
        }
      }
      
      return 44
    } catch (error) {
      console.error('检测WAV头部大小失败:', error)
      return 44
    }
  }

  // 请求音频片段
  const fetchAudioSegment = async (text, index) => {
    try {
      console.log(`📶正在请求第${index + 1}段音频: "${text}"`)
      
      const response = await fetch(apiUrl, {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json',
        },
        body: JSON.stringify({
          text: text,
          speed: 1.0,
          volume: 1.0,
          pitch: 1.0,
          voice_type: 1
        })
      })
      
      if (!response.ok) {
        throw new Error(`HTTP错误! 状态码: ${response.status}`)
      }
      
      const audioBlob = await response.blob()
      
      if (!audioBlob || audioBlob.size < 100) {
        throw new Error('音频数据太小或无效')
      }
      
      console.log(`第${index + 1}段音频获取成功，大小: ${audioBlob.size} 字节`)
      
      const arrayBuffer = await audioBlob.arrayBuffer()
      
      // 保存原始数据用于可能的合并
      pendingMergeSegments.push({
        arrayBuffer: arrayBuffer,
        segmentIndex: index
      })
      
      // 如果是第一个片段，保存其WAV头部用于合并
      if (index === 0) {
        const headerSize = detectWavHeaderSize(arrayBuffer)
        firstSegmentHeader = new Uint8Array(arrayBuffer.slice(0, headerSize))
      }
      
      return {
        blob: audioBlob,
        segmentIndex: index,
        text: text,
        arrayBuffer: arrayBuffer
      }
      
    } catch (error) {
      console.error(`获取第${index + 1}段音频失败:`, error)
      throw error
    }
  }

  // 初始化音频上下文
  const initAudioContext = () => {
    if (!audioContext) {
      audioContext = new (window.AudioContext || window.webkitAudioContext)()
      console.log('音频上下文已初始化')
    }
    return audioContext
  }

  // 解码并播放音频Blob
  const decodeAndPlayBlob = async (audioBlob, segmentIndex) => {
    return new Promise((resolve, reject) => {
      if (isCancelled || !audioContext) {
        resolve()
        return
      }
      
      // 设置当前正在播放的片段索引
      currentPlayingIndex = segmentIndex
      console.log(`设置当前播放索引为: ${currentPlayingIndex}`)
      
      const fileReader = new FileReader()
      
      fileReader.onload = async (e) => {
        try {
          const arrayBuffer = e.target.result
          const audioBuffer = await audioContext.decodeAudioData(arrayBuffer)
          
          audioSource = audioContext.createBufferSource()
          audioSource.buffer = audioBuffer
          audioSource.connect(audioContext.destination)
          
          audioSource.onended = () => {
            console.log(`第${segmentIndex + 1}个片段播放完成`)
            audioSource = null
            lastPlayedIndex = segmentIndex
            currentPlayingIndex = -1
            resolve()
          }
          
          audioSource.onerror = (error) => {
            console.error('音频播放错误:', error)
            currentPlayingIndex = -1
            reject(error)
          }
          
          console.log(`▶️开始播放第${segmentIndex + 1}个片段`)
          audioSource.start(0)
          
        } catch (error) {
          console.error('解码或播放音频失败:', error)
          currentPlayingIndex = -1
          reject(error)
        }
      }
      
      fileReader.onerror = (error) => {
        console.error('读取音频文件失败:', error)
        currentPlayingIndex = -1
        reject(error)
      }
      
      fileReader.readAsArrayBuffer(audioBlob)
    })
  }

  // 合并剩余音频片段
  const mergeRemainingSegments = (segmentsToMerge) => {
    if (segmentsToMerge.length === 0 || !firstSegmentHeader) {
      console.log('没有待合并的片段或缺少头部信息')
      return null
    }
    
    try {
      // 按segmentIndex排序
      segmentsToMerge.sort((a, b) => a.segmentIndex - b.segmentIndex)
      
      console.log(`开始合并${segmentsToMerge.length}个剩余片段`)
      
      // 计算总数据大小
      let totalAudioDataSize = 0
      for (const segment of segmentsToMerge) {
        const headerSize = detectWavHeaderSize(segment.arrayBuffer)
        totalAudioDataSize += segment.arrayBuffer.byteLength - headerSize
      }
      
      console.log(`剩余音频数据总大小: ${totalAudioDataSize}字节`)
      
      // 创建合并后的数组
      const headerSize = firstSegmentHeader.length
      const totalSize = headerSize + totalAudioDataSize
      const mergedArray = new Uint8Array(totalSize)
      
      // 设置头部
      mergedArray.set(firstSegmentHeader, 0)
      
      // 更新头部中的data大小
      const view = new DataView(mergedArray.buffer)
      view.setUint32(40, totalAudioDataSize, true)
      view.setUint32(4, 36 + totalAudioDataSize, true)
      
      // 合并所有音频数据
      let offset = headerSize
      for (const segment of segmentsToMerge) {
        const segmentHeaderSize = detectWavHeaderSize(segment.arrayBuffer)
        const segmentData = new Uint8Array(segment.arrayBuffer.slice(segmentHeaderSize))
        mergedArray.set(segmentData, offset)
        offset += segmentData.length
      }
      
      console.log(`音频合并完成，总大小: ${mergedArray.length}字节`)
      
      // 创建Blob
      return new Blob([mergedArray], { type: 'audio/wav' })
      
    } catch (error) {
      console.error('合并音频片段失败:', error)
      return null
    }
  }

  // 从队列播放音频
  const playFromQueue = async () => {
    if (isPlayingQueue || audioQueue.length === 0) {
      return
    }
    
    isPlayingQueue = true
    
    try {
      while (audioQueue.length > 0 && !isCancelled) {
        const audioItem = audioQueue[0]
        currentSegmentIndex.value = audioItem.segmentIndex
        
        // 播放第一个音频
        console.log(`准备播放第${audioItem.segmentIndex + 1}个片段: "${audioItem.text}"`)
        await decodeAndPlayBlob(audioItem.blob, audioItem.segmentIndex)
        
        // 播放完成后移除
        audioQueue.shift()
        console.log(`片段${audioItem.segmentIndex + 1}播放完成，队列剩余: ${audioQueue.length}`)
        
        // 更新进度
        progress.value = Math.floor(((audioItem.segmentIndex + 1) / totalSegments.value) * 100)
        
        // 短暂延迟
        await new Promise(resolve => setTimeout(resolve, 50))
      }
      
      // 检查是否所有片段都播放完成
      if (audioQueue.length === 0 && lastPlayedIndex === totalSegments.value - 1) {
        console.log('所有音频片段播放完成')
        progress.value = 100
      }
      
    } catch (error) {
      console.error('播放队列出错:', error)
    } finally {
      isPlayingQueue = false
    }
  }

  // 向队列添加音频
  const addToQueue = (audioItem) => {
    // 按segmentIndex插入到正确位置
    let insertIndex = 0
    for (let i = audioQueue.length - 1; i >= 0; i--) {
      if (audioQueue[i].segmentIndex < audioItem.segmentIndex) {
        insertIndex = i + 1
        break
      }
    }
    
    audioQueue.splice(insertIndex, 0, audioItem)
    console.log(`音频片段${audioItem.segmentIndex + 1}已添加到队列，队列长度: ${audioQueue.length}`)
    
    // 如果队列中有音频且当前没有在播放，开始播放
    if (!isPlayingQueue && audioQueue.length === 1) {
      playFromQueue()
    }
  }

  // 尝试合并剩余片段
  const tryMergeRemainingSegments = () => {
    if (!allRequestsCompleted) {
      console.log('合并检查: 请求未完成，跳过')
      return
    }
    
    // 获取真正未播放的片段（不包括已经播放的和正在播放的）
    const trulyUnplayedSegments = audioQueue.filter(item => {
      // 排除已经播放完成的
      if (item.segmentIndex <= lastPlayedIndex) {
        return false
      }
      // 排除当前正在播放的
      if (currentPlayingIndex !== -1 && item.segmentIndex === currentPlayingIndex) {
        return false
      }
      return true
    })
    
    const shouldMerge = trulyUnplayedSegments.length > 1
    
    console.log(`🔀合并检查: 已播放到=${lastPlayedIndex}, 正在播放=${currentPlayingIndex}, 真正未播放片段=${trulyUnplayedSegments.length}, 应该合并=${shouldMerge}`)
    
    if (!shouldMerge) {
      console.log('不符合合并条件（真正未播放片段数量 <= 1）')
      return
    }
    
    console.log('✔️符合合并条件，开始合并剩余片段')
    
    // 获取这些片段的原始数据
    const segmentsToMergeData = []
    for (const item of trulyUnplayedSegments) {
      const segmentData = pendingMergeSegments.find(s => s.segmentIndex === item.segmentIndex)
      if (segmentData) {
        segmentsToMergeData.push(segmentData)
      }
    }
    
    if (segmentsToMergeData.length === 0) {
      console.log('没有找到待合并的原始数据')
      return
    }
    
    // 合并这些片段
    const mergedBlob = mergeRemainingSegments(segmentsToMergeData)
    
    if (mergedBlob) {
      // 从audioQueue中移除这些将被合并的片段
      const segmentIndicesToRemove = trulyUnplayedSegments.map(s => s.segmentIndex)
      
      for (let i = audioQueue.length - 1; i >= 0; i--) {
        if (segmentIndicesToRemove.includes(audioQueue[i].segmentIndex)) {
          audioQueue.splice(i, 1)
        }
      }
      
      // 将合并后的音频添加到队列的合适位置
      const firstSegmentIndex = Math.min(...segmentIndicesToRemove)
      const mergedText = trulyUnplayedSegments.map(s => s.text).join(' ')
      
      const mergedAudioItem = {
        blob: mergedBlob,
        segmentIndex: firstSegmentIndex,
        text: mergedText,
        isMerged: true
      }
      
      // 插入到正确位置（按segmentIndex）
      let insertIndex = 0
      for (let i = audioQueue.length - 1; i >= 0; i--) {
        if (audioQueue[i].segmentIndex < firstSegmentIndex) {
          insertIndex = i + 1
          break
        }
      }
      
      audioQueue.splice(insertIndex, 0, mergedAudioItem)
      console.log(`合并后的音频已添加到队列位置${insertIndex}，包含${trulyUnplayedSegments.length}个原始片段，队列长度: ${audioQueue.length}`)
    } else {
      console.log('合并失败，保持原始片段')
    }
  }

  // 文本提取工具函数
  function extractSpeechText(markdown) {
    if (!markdown || markdown.indexOf('job-json') === -1) {
      return markdown;
    }
    const jobRegex = /``` job-json\s*({[\s\S]*?})\s*```/g;
    const jobs = [];
    let match;
    let lastJobEndIndex = 0;
    let firstJobStartIndex = -1;
    while ((match = jobRegex.exec(markdown)) !== null) {
      const jobStr = match[1];
      try {
        const job = JSON.parse(jobStr);
        jobs.push(job);
        if (firstJobStartIndex === -1) {
          firstJobStartIndex = match.index;
        }
        lastJobEndIndex = jobRegex.lastIndex;
      } catch (e) {
        console.warn('JSON 解析失败', e);
      }
    }
    const guideText = firstJobStartIndex > 0 ?
      markdown.slice(0, firstJobStartIndex).trim() : '';
    const endingText = lastJobEndIndex < markdown.length ?
      markdown.slice(lastJobEndIndex).trim() : '';
    const jobTexts = jobs.map((job, index) => {
      return `第 ${index + 1} 个岗位，岗位名称是：${job.jobTitle}，公司是：${job.companyName}，薪资：${job.salary}，地点：${job.location}，学历要求：${job.education}，经验要求：${job.experience}。`;
    });
    const finalTextParts = [];
    if (guideText) finalTextParts.push(guideText);
    finalTextParts.push(...jobTexts);
    if (endingText) finalTextParts.push(endingText);
    return finalTextParts.join('\n');
  }

  // 清理资源
  const cleanup = () => {
    isCancelled = true
    
    if (audioSource) {
      try {
        audioSource.stop()
      } catch (e) {
        // 忽略错误
      }
      audioSource = null
    }
    
    if (audioContext && audioContext.state !== 'closed') {
      audioContext.close()
    }
    
    audioContext = null
    audioQueue = []
    segments = []
    isPlayingQueue = false
    allRequestsCompleted = false
    pendingMergeSegments = []
    firstSegmentHeader = null
    lastPlayedIndex = -1
    currentPlayingIndex = -1
    
    isSpeaking.value = false
    isPaused.value = false
    isLoading.value = false
    progress.value = 0
  }

  // 停止播放
  const stopAudio = () => {
    isCancelled = true
    if (audioSource) {
      try {
        audioSource.stop()
      } catch (e) {
        // 忽略错误
      }
      audioSource = null
    }
    isPlayingQueue = false
    currentPlayingIndex = -1
    isSpeaking.value = false
    isPaused.value = false
    isLoading.value = false
  }

  // 主speak方法
  const speak = async (text) => {
    text = extractSpeechText(text)
    console.log('开始语音播报:', text)
    
    // 如果正在播放，先停止
    if (isSpeaking.value) {
      stopAudio()
    }
    
    // 重置状态
    isCancelled = false
    currentText.value = text
    isLoading.value = true
    isSpeaking.value = true
    progress.value = 0
    audioQueue = []
    allRequestsCompleted = false
    pendingMergeSegments = []
    firstSegmentHeader = null
    lastPlayedIndex = -1
    currentPlayingIndex = -1
    
    // 预处理文本
    segments = preprocessText(text)
    console.log('文本分段结果:', segments)
    
    if (segments.length === 0) {
      console.warn('没有有效的文本可以播报')
      isLoading.value = false
      isSpeaking.value = false
      return
    }
    
    totalSegments.value = segments.length
    
    try {
      // 初始化音频上下文
      initAudioContext()
      
      // 1. 串行请求所有音频片段
      for (let i = 0; i < segments.length; i++) {
        if (isCancelled) break
        
        console.log(`串行请求第${i + 1}/${segments.length}个片段`)
        
        // 更新进度（请求进度）
        progress.value = Math.floor(((i + 1) / segments.length) * 50)
        
        // 请求音频片段
        const audioItem = await fetchAudioSegment(segments[i], i)
        
        // 添加到播放队列
        addToQueue({
          blob: audioItem.blob,
          segmentIndex: i,
          text: segments[i]
        })
        
        // 如果是第一个片段，取消loading状态
        if (i === 0 && isLoading.value) {
          console.log('第一个音频片段已就绪，开始播放')
          isLoading.value = false
        }
      }
      
      // 2. 所有请求完成
      console.log('所有音频片段请求完成')
      allRequestsCompleted = true
      
      // 3. 立即检查是否可以合并剩余片段
      tryMergeRemainingSegments()
      
      // 4. 等待所有音频播放完成
      while (audioQueue.length > 0 && !isCancelled) {
        await new Promise(resolve => setTimeout(resolve, 100))
      }
      
      console.log('音频播放完成')
      
    } catch (error) {
      console.error('语音播报失败:', error)
    } finally {
      // 最终清理
      if (isCancelled) {
        cleanup()
      } else {
        isSpeaking.value = false
        isPaused.value = false
        isLoading.value = false
        progress.value = 100
      }
    }
  }

  // 暂停播放
  const pause = () => {
    if (audioContext && isSpeaking.value && !isPaused.value) {
      audioContext.suspend().then(() => {
        isPaused.value = true
        console.log('播放已暂停')
      })
    }
  }

  // 恢复播放
  const resume = () => {
    if (audioContext && isSpeaking.value && isPaused.value) {
      audioContext.resume().then(() => {
        isPaused.value = false
        console.log('播放已恢复')
      })
    }
  }

  // 取消音频
  const cancelAudio = () => {
    console.log('取消音频播放')
    stopAudio()
    cleanup()
  }

  // 组件卸载时清理
 
  return {
    // 状态
    isSpeaking,
    isPaused,
    isLoading,
    currentText,
    currentSegmentIndex,
    totalSegments,
    progress,
    
    // 方法
    speak,
    pause,
    resume,
    cancelAudio,
    cleanup
  }
}