682 lines
19 KiB
JavaScript
682 lines
19 KiB
JavaScript
// useAudioSpeak.js
|
||
import { ref } from 'vue'
|
||
import globalConfig from '@/config.js';
|
||
import useUserStore from '@/stores/useUserStore';
|
||
|
||
/**
|
||
* TTS语音合成Hook (队列播放版本)
|
||
* @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
|
||
* @param {number} config.minQueueSize - 最小队列缓存数量
|
||
* @param {number} config.maxRetry - 最大重试次数
|
||
* @returns {Object} TTS相关方法和状态
|
||
*/
|
||
export const useAudioSpeak = (config = {}) => {
|
||
const {
|
||
apiUrl = `${globalConfig.baseUrl}/app/speech/tts`,
|
||
maxSegmentLength = 30,
|
||
minQueueSize = 3, // 最小队列缓存数量
|
||
maxRetry = 2, // 最大重试次数
|
||
onStatusChange = () => {} // 状态变化回调
|
||
} = 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)
|
||
|
||
// 队列容器
|
||
let textQueue = [] // 等待转换的文本队列 [{text, index}]
|
||
let audioQueue = [] // 已经转换好的音频队列 [{blobUrl, text, index}]
|
||
|
||
// 控制标志
|
||
let isFetching = false // 是否正在请求音频
|
||
let isPlaying = false // 是否正在播放（逻辑状态）
|
||
let currentPlayingIndex = -1 // 当前正在播放的片段索引
|
||
let audioContext = null
|
||
let audioSource = null
|
||
let currentAudioUrl = '' // 当前播放的音频URL
|
||
|
||
// 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) => {
|
||
// 处理薪资格式
|
||
let salaryText = job.salary;
|
||
if (salaryText) {
|
||
// 匹配 "XXXXX-XXXXX元/月" 格式
|
||
const rangeMatch = salaryText.match(/(\d+)-(\d+)元\/月/);
|
||
if (rangeMatch) {
|
||
const minSalary = parseInt(rangeMatch[1], 10);
|
||
const maxSalary = parseInt(rangeMatch[2], 10);
|
||
|
||
// 转换为千位单位
|
||
const minK = Math.round(minSalary / 1000);
|
||
const maxK = Math.round(maxSalary / 1000);
|
||
|
||
salaryText = `${minK}千到${maxK}千每月`;
|
||
}
|
||
// 如果不是 "XXXXX-XXXXX元/月" 格式，保持原样
|
||
}
|
||
|
||
return `第 ${index + 1} 个岗位，岗位名称是：${job.jobTitle}，公司是：${job.companyName}，薪资：${salaryText}，地点：${job.location}，学历要求：${job.education}，经验要求：${job.experience}。`;
|
||
});
|
||
|
||
const finalTextParts = [];
|
||
if (guideText) finalTextParts.push(guideText);
|
||
finalTextParts.push(...jobTexts);
|
||
if (endingText) finalTextParts.push(endingText);
|
||
|
||
return finalTextParts.join('\n');
|
||
}
|
||
|
||
/**
|
||
* 智能文本切割
|
||
* 作用：合并短句减少请求次数，切分长句避免超时
|
||
*/
|
||
const _smartSplit = (text) => {
|
||
if (!text || typeof text !== 'string') return [];
|
||
|
||
const cleanText = text.replace(/\s+/g, ' ').trim();
|
||
if (!cleanText) return [];
|
||
|
||
const segments = [];
|
||
|
||
// 1. 按完整标点分割成独立的句子（包括中英文标点）
|
||
// 正则解释：匹配非标点字符 + 标点符号（或者匹配到结尾）
|
||
const sentenceRegex = /([^。？！；，、\n\r\.\?!;,]+[。？！；，、\n\r\.\?!;,]+|.+$)/g;
|
||
|
||
let currentIndex = 0;
|
||
let match;
|
||
const rawSentences = [];
|
||
|
||
while ((match = sentenceRegex.exec(cleanText)) !== null) {
|
||
const sentence = match[0].trim();
|
||
if (sentence) {
|
||
rawSentences.push(sentence);
|
||
}
|
||
currentIndex = match.index + match[0].length;
|
||
}
|
||
|
||
// 处理最后剩余的部分
|
||
if (currentIndex < cleanText.length) {
|
||
const remaining = cleanText.substring(currentIndex).trim();
|
||
if (remaining) {
|
||
rawSentences.push(remaining);
|
||
}
|
||
}
|
||
|
||
// 如果正则没有匹配到，整个文本作为一句话
|
||
if (rawSentences.length === 0) {
|
||
rawSentences.push(cleanText);
|
||
}
|
||
|
||
// 2. 处理每个句子
|
||
for (const sentence of rawSentences) {
|
||
if (sentence.length <= maxSegmentLength) {
|
||
// 句子长度正常，直接作为一个片段
|
||
segments.push(sentence);
|
||
} else {
|
||
// 句子超长，需要分割
|
||
console.log('检测到超长句子，需要分割:', sentence);
|
||
|
||
let currentPos = 0;
|
||
const sentenceLength = sentence.length;
|
||
|
||
while (currentPos < sentenceLength) {
|
||
// 优先在标点处分割
|
||
let splitPos = -1;
|
||
const searchStart = currentPos;
|
||
const searchEnd = Math.min(currentPos + maxSegmentLength, sentenceLength);
|
||
|
||
// 在搜索范围内找标点
|
||
for (let i = searchEnd - 1; i > searchStart; i--) {
|
||
if (/[。？！；，、\n\r\.\?!;,]/u.test(sentence[i])) {
|
||
splitPos = i + 1; // 包含标点
|
||
break;
|
||
}
|
||
}
|
||
|
||
// 如果没找到标点，在最大限制处分割
|
||
if (splitPos === -1) {
|
||
splitPos = searchEnd;
|
||
}
|
||
|
||
// 确保至少分割出一个字符
|
||
if (splitPos <= currentPos) {
|
||
splitPos = currentPos + 1;
|
||
}
|
||
|
||
const segment = sentence.substring(currentPos, splitPos).trim();
|
||
if (segment) {
|
||
segments.push(segment);
|
||
}
|
||
|
||
currentPos = splitPos;
|
||
}
|
||
}
|
||
}
|
||
|
||
// 3. 特殊情况：合并以冒号开头的短片段到上一句
|
||
const finalSegments = [];
|
||
for (let i = 0; i < segments.length; i++) {
|
||
const currentSegment = segments[i];
|
||
|
||
// 检查是否以冒号开头且很短（可能是被错误分割的部分）
|
||
if (i > 0 &&
|
||
(currentSegment.startsWith('：') || currentSegment.startsWith(':')) &&
|
||
currentSegment.length < 15 &&
|
||
!currentSegment.endsWith('。') &&
|
||
!currentSegment.endsWith('!') &&
|
||
!currentSegment.endsWith('?')) {
|
||
|
||
// 尝试合并到上一句
|
||
const previousSegment = finalSegments[finalSegments.length - 1];
|
||
if (previousSegment && (previousSegment.length + currentSegment.length) <= maxSegmentLength) {
|
||
finalSegments[finalSegments.length - 1] = previousSegment + currentSegment;
|
||
} else {
|
||
finalSegments.push(currentSegment);
|
||
}
|
||
} else {
|
||
finalSegments.push(currentSegment);
|
||
}
|
||
}
|
||
|
||
// 清理：移除空白和空字符串
|
||
return finalSegments.filter(seg => seg && seg.trim());
|
||
}
|
||
|
||
/**
|
||
* 统一状态通知
|
||
*/
|
||
const _updateState = (state = {}) => {
|
||
// 合并当前状态供 UI 使用
|
||
const payload = {
|
||
isPlaying: isPlaying,
|
||
isPaused: isPaused.value,
|
||
isLoading: state.isLoading || false,
|
||
msg: state.msg || '',
|
||
currentSegmentIndex: currentSegmentIndex.value,
|
||
totalSegments: totalSegments.value,
|
||
progress: progress.value
|
||
};
|
||
|
||
// 更新响应式状态
|
||
isLoading.value = state.isLoading || false;
|
||
|
||
// 调用回调
|
||
onStatusChange(payload);
|
||
}
|
||
|
||
/**
|
||
* 网络请求包装 (带重试机制)
|
||
*/
|
||
const _fetchAudioWithRetry = async (text, retries = 0) => {
|
||
try {
|
||
console.log(`📶正在请求音频: "${text}"`);
|
||
|
||
let Authorization = '';
|
||
if (useUserStore().token) {
|
||
Authorization = `${useUserStore().token}`;
|
||
}
|
||
|
||
const response = await fetch(`${apiUrl}?text=${encodeURIComponent(text)}`, {
|
||
method: 'GET',
|
||
headers: {
|
||
'Content-Type': 'application/json',
|
||
'Authorization': encodeURIComponent(Authorization)
|
||
}
|
||
});
|
||
|
||
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(`音频获取成功，大小: ${audioBlob.size} 字节`);
|
||
|
||
// 创建Blob URL
|
||
return URL.createObjectURL(audioBlob);
|
||
|
||
} catch (e) {
|
||
if (retries < maxRetry) {
|
||
console.warn(`重试 ${retries + 1} 次，文本: ${text.substring(0, 10)}...`);
|
||
return await _fetchAudioWithRetry(text, retries + 1);
|
||
}
|
||
throw e;
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 缓冲维护器 (生产者)
|
||
* 始终保持 audioQueue 里有足够的音频
|
||
*/
|
||
const _maintainBuffer = async () => {
|
||
// 如果正在请求，或 文本队列没了，或 音频缓冲已达标，则停止请求
|
||
if (isFetching || textQueue.length === 0) {
|
||
return;
|
||
}
|
||
|
||
// 缓冲策略：如果音频队列里的数量少于 minQueueSize，就继续下载
|
||
if (audioQueue.length >= minQueueSize) {
|
||
return;
|
||
}
|
||
|
||
isFetching = true;
|
||
const textItem = textQueue.shift(); // 从文本队列取出
|
||
|
||
try {
|
||
const blobUrl = await _fetchAudioWithRetry(textItem.text);
|
||
audioQueue.push({
|
||
blobUrl,
|
||
text: textItem.text,
|
||
index: textItem.index
|
||
});
|
||
|
||
console.log(`音频已添加到队列，当前队列长度: ${audioQueue.length}`);
|
||
|
||
// 如果当前因为没音频卡住了（Loading状态），立即尝试播放下一段
|
||
if (!audioSource && !isPaused.value && isPlaying) {
|
||
_playNext();
|
||
}
|
||
} catch (error) {
|
||
console.error('缓冲维护失败:', error);
|
||
// 即使失败，也要继续处理下一个文本，防止死锁
|
||
} finally {
|
||
isFetching = false;
|
||
// 递归调用：继续检查是否需要填充缓冲
|
||
_maintainBuffer();
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 初始化音频上下文
|
||
*/
|
||
const initAudioContext = () => {
|
||
if (!audioContext || audioContext.state === 'closed') {
|
||
audioContext = new (window.AudioContext || window.webkitAudioContext)();
|
||
console.log('音频上下文已初始化');
|
||
}
|
||
return audioContext;
|
||
}
|
||
|
||
/**
|
||
* 播放控制器 (消费者)
|
||
*/
|
||
const _playNext = () => {
|
||
if (!isPlaying || isPaused.value) {
|
||
return;
|
||
}
|
||
|
||
// 尝试从缓冲队列获取下一个应该播放的片段
|
||
const nextIndex = currentPlayingIndex + 1;
|
||
const itemIndex = audioQueue.findIndex(item => item.index === nextIndex);
|
||
|
||
// 1. 缓冲耗尽：进入"加载中"等待状态
|
||
if (itemIndex === -1) {
|
||
if (textQueue.length === 0 && !isFetching) {
|
||
// 彻底播完了
|
||
console.log('所有音频播放完成');
|
||
stopAudio();
|
||
_updateState({ isPlaying: false, msg: '播放结束' });
|
||
} else {
|
||
// 还有文本没转完，说明网速慢了，正在缓冲
|
||
_updateState({ isLoading: true, msg: '缓冲中...' });
|
||
// 确保生产线在运行
|
||
_maintainBuffer();
|
||
}
|
||
return;
|
||
}
|
||
|
||
// 2. 正常播放
|
||
const item = audioQueue.splice(itemIndex, 1)[0];
|
||
|
||
// 释放上一段的内存
|
||
if (currentAudioUrl) {
|
||
URL.revokeObjectURL(currentAudioUrl);
|
||
currentAudioUrl = '';
|
||
}
|
||
|
||
currentPlayingIndex = item.index;
|
||
currentSegmentIndex.value = item.index;
|
||
currentAudioUrl = item.blobUrl;
|
||
|
||
// 更新进度
|
||
if (totalSegments.value > 0) {
|
||
progress.value = Math.floor(((item.index + 1) / totalSegments.value) * 100);
|
||
}
|
||
|
||
_updateState({
|
||
isLoading: false,
|
||
msg: `播放中: ${item.text.substring(0, 15)}...`
|
||
});
|
||
|
||
// 播放音频
|
||
_playAudio(item.blobUrl, item.text, item.index);
|
||
|
||
// 消费了一个，通知生产者补充库存
|
||
_maintainBuffer();
|
||
}
|
||
|
||
/**
|
||
* 播放音频
|
||
*/
|
||
const _playAudio = async (blobUrl, text, index) => {
|
||
return new Promise((resolve, reject) => {
|
||
if (!isPlaying || isPaused.value) {
|
||
resolve();
|
||
return;
|
||
}
|
||
|
||
initAudioContext();
|
||
|
||
const fileReader = new FileReader();
|
||
|
||
fileReader.onload = async (e) => {
|
||
try {
|
||
const arrayBuffer = e.target.result;
|
||
const audioBuffer = await audioContext.decodeAudioData(arrayBuffer);
|
||
|
||
// 如果在此期间被暂停或停止，直接返回
|
||
if (!isPlaying || isPaused.value) {
|
||
resolve();
|
||
return;
|
||
}
|
||
|
||
audioSource = audioContext.createBufferSource();
|
||
audioSource.buffer = audioBuffer;
|
||
audioSource.connect(audioContext.destination);
|
||
|
||
audioSource.onended = () => {
|
||
console.log(`第${index + 1}个片段播放完成`);
|
||
audioSource = null;
|
||
|
||
// 播放下一段
|
||
_playNext();
|
||
resolve();
|
||
};
|
||
|
||
audioSource.onerror = (error) => {
|
||
console.error('音频播放错误:', error);
|
||
audioSource = null;
|
||
|
||
// 跳过错误片段，尝试下一段
|
||
setTimeout(() => {
|
||
_playNext();
|
||
}, 100);
|
||
reject(error);
|
||
};
|
||
|
||
console.log(`▶️开始播放第${index + 1}个片段: "${text}`);
|
||
|
||
// 如果音频上下文被暂停，先恢复
|
||
if (audioContext.state === 'suspended') {
|
||
await audioContext.resume();
|
||
}
|
||
|
||
audioSource.start(0);
|
||
|
||
} catch (error) {
|
||
console.error('解码或播放音频失败:', error);
|
||
audioSource = null;
|
||
|
||
// 跳过错误片段，尝试下一段
|
||
setTimeout(() => {
|
||
_playNext();
|
||
}, 100);
|
||
reject(error);
|
||
}
|
||
};
|
||
|
||
fileReader.onerror = (error) => {
|
||
console.error('读取音频文件失败:', error);
|
||
audioSource = null;
|
||
|
||
// 跳过错误片段，尝试下一段
|
||
setTimeout(() => {
|
||
_playNext();
|
||
}, 100);
|
||
reject(error);
|
||
};
|
||
|
||
// 先获取Blob，再读取
|
||
fetch(blobUrl)
|
||
.then(response => response.blob())
|
||
.then(blob => {
|
||
fileReader.readAsArrayBuffer(blob);
|
||
})
|
||
.catch(error => {
|
||
console.error('获取Blob失败:', error);
|
||
reject(error);
|
||
});
|
||
});
|
||
}
|
||
|
||
/**
|
||
* 核心入口：开始播放长文本
|
||
*/
|
||
const speak = async (text) => {
|
||
console.log('开始新的语音播报');
|
||
|
||
|
||
cleanup();
|
||
// 等待一小段时间确保资源清理完成
|
||
await new Promise(resolve => setTimeout(resolve, 200));
|
||
|
||
|
||
text = extractSpeechText(text);
|
||
console.log('开始语音播报:', text);
|
||
|
||
// 重置状态
|
||
isPlaying = true;
|
||
isPaused.value = false;
|
||
isLoading.value = true;
|
||
isSpeaking.value = true;
|
||
|
||
currentText.value = text;
|
||
progress.value = 0;
|
||
currentPlayingIndex = -1;
|
||
currentSegmentIndex.value = 0;
|
||
|
||
// 清空队列
|
||
textQueue = [];
|
||
audioQueue = [];
|
||
|
||
// 清理之前的Blob URL
|
||
if (currentAudioUrl) {
|
||
URL.revokeObjectURL(currentAudioUrl);
|
||
currentAudioUrl = '';
|
||
}
|
||
|
||
// 1. 智能切割文本
|
||
const segments = _smartSplit(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');
|
||
_updateState({ isPlaying: false, msg: '没有有效的文本' });
|
||
isSpeaking.value = false;
|
||
isLoading.value = false;
|
||
return;
|
||
}
|
||
|
||
totalSegments.value = segments.length;
|
||
|
||
// 2. 填充文本队列
|
||
segments.forEach((segment, index) => {
|
||
textQueue.push({ text: segment, index });
|
||
});
|
||
|
||
_updateState({ isLoading: true, msg: '初始化播放...' });
|
||
|
||
// 3. 启动"缓冲流水线"
|
||
_maintainBuffer();
|
||
|
||
// 4. 开始播放
|
||
setTimeout(() => {
|
||
_playNext();
|
||
}, 100);
|
||
}
|
||
|
||
/**
|
||
* 暂停播放
|
||
*/
|
||
const pause = () => {
|
||
if (isPlaying && !isPaused.value) {
|
||
isPaused.value = true;
|
||
|
||
if (audioContext) {
|
||
audioContext.suspend().then(() => {
|
||
_updateState({ isPaused: true, msg: '已暂停' });
|
||
});
|
||
} else {
|
||
_updateState({ isPaused: true, msg: '已暂停' });
|
||
}
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 恢复播放
|
||
*/
|
||
const resume = () => {
|
||
|
||
if (isPlaying && isPaused.value) {
|
||
isPaused.value = false;
|
||
|
||
// 恢复播放。如果当前有音频源则直接resume，否则调_playNext
|
||
if (audioContext && audioContext.state === 'suspended') {
|
||
audioContext.resume().then(() => {
|
||
_updateState({ isPaused: false, msg: '继续播放' });
|
||
});
|
||
} else if (audioSource) {
|
||
_updateState({ isPaused: false, msg: '继续播放' });
|
||
} else {
|
||
_playNext();
|
||
}
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 停止播放
|
||
*/
|
||
const stopAudio = () => {
|
||
console.log('停止音频播放');
|
||
|
||
isPlaying = false;
|
||
isPaused.value = false;
|
||
isFetching = false;
|
||
isSpeaking.value = false;
|
||
isLoading.value = false;
|
||
|
||
// 停止音频源
|
||
if (audioSource) {
|
||
try {
|
||
audioSource.stop();
|
||
console.log('音频源已停止');
|
||
} catch (e) {
|
||
console.warn('停止音频源失败:', e);
|
||
}
|
||
audioSource = null;
|
||
}
|
||
|
||
// 暂停音频上下文
|
||
if (audioContext && audioContext.state !== 'closed') {
|
||
audioContext.suspend();
|
||
}
|
||
|
||
// 清理所有 Blob 内存
|
||
if (currentAudioUrl) {
|
||
URL.revokeObjectURL(currentAudioUrl);
|
||
currentAudioUrl = '';
|
||
}
|
||
|
||
// 清理音频队列中的Blob URL
|
||
audioQueue.forEach(item => {
|
||
if (item.blobUrl) {
|
||
URL.revokeObjectURL(item.blobUrl);
|
||
}
|
||
});
|
||
|
||
// 清空队列
|
||
textQueue = [];
|
||
audioQueue = [];
|
||
|
||
currentPlayingIndex = -1;
|
||
progress.value = 0;
|
||
|
||
_updateState({ isPlaying: false, msg: '已停止' });
|
||
}
|
||
|
||
/**
|
||
* 清理资源
|
||
*/
|
||
const cleanup = () => {
|
||
console.log('开始清理资源');
|
||
stopAudio();
|
||
|
||
if (audioContext && audioContext.state !== 'closed') {
|
||
audioContext.close();
|
||
console.log('音频上下文已关闭');
|
||
}
|
||
|
||
audioContext = null;
|
||
console.log('资源清理完成');
|
||
}
|
||
|
||
return {
|
||
// 状态
|
||
isSpeaking,
|
||
isPaused,
|
||
isLoading,
|
||
currentText,
|
||
currentSegmentIndex,
|
||
totalSegments,
|
||
progress,
|
||
|
||
// 方法
|
||
speak,
|
||
pause,
|
||
resume,
|
||
cancelAudio: stopAudio,
|
||
cleanup
|
||
}
|
||
} |