Merge branch 'new_male' into kehu

server.js

@@ -9,7 +9,7 @@ const { MessageHistory } = require('./src/message_history.js');
 const app = express();
 const server = http.createServer(app);
 const io = socketIo(server, {
-  pingTimeout: 60000,    // 60秒超时
+  pingTimeout: 300000,    // 60秒超时
   pingInterval: 25000,   // 25秒心跳间隔
   upgradeTimeout: 30000, // 30秒升级超时
   allowEIO3: true,       // 允许Engine.IO v3客户端
@@ -135,28 +135,65 @@ const scenes = [
     defaultVideo: 'qc-bd-4.mp4',
     interactionVideo: 'qc-hc-7.mp4',
     tag: 'wakeup',
-    apiKey: 'bot-20250724150616-xqpz8' // 起床场景的API key
+    apiKey: 'bot-20250724150616-xqpz8', // 起床场景的API key
+    openingLines: [
+      // '你靠得近点...像梦里那样',
+      "刚醒就看到你，比闹钟好使一百倍。",
+      // "昨晚梦里喊你名字喊醒了，现在视频看到你，心跳比梦里还烫。",
+      // "你穿我T恤的样子...让我想咬住衣领不放。",
+      "宝贝早...你声音比阳光还暖。",
+      // "喉咙里有咖啡味...要不要来尝尝？记得上次你咬我锁骨时，咖啡还温着。",
+      "晨雾遮住你半张脸...但你的呼吸声比雾气更潮湿，让我想起你咬我耳垂的感觉。"
+    ]
   },
   {
     name: '开车',
     defaultVideo: 'kc-bd-3.mp4',
     interactionVideo: 'kc-sh-3.mp4',
     tag: 'driving',
-    apiKey: 'bot-20250623140339-r8f8b' // 开车场景的API key
+    apiKey: 'bot-20250623140339-r8f8b', // 开车场景的API key
+    openingLines: [
+      '宝贝起了？看到你的脸，我这早起的怨气‘咻’一下就飞走了。车窗外的阳光都没你眼睛亮。',
+      '刚过桥，下面河水在闪光，突然就好想带你来兜风…你负责吃零食看风景，我负责偷瞄你。',
+      // '看到那个大钟楼没？每次路过都想你。想着要是能牵着你的手，站在最高层往下看该多好。',
+      '唉，快到了…真不想挂。感觉你像块小磁铁，隔着屏幕都想把我吸过去。今天上班肯定满脑子都是你。',
+      '要开始堵车了...要是你在副驾的话，这段路该多甜呀',
+      '宝贝起床了，刚过红绿灯就忍不住想你了，路上全是你的影子~',
+      '车载音乐随机到那首我们接吻时哼的歌，心跳又乱了',
+      '导航说今天要开58分钟，其实想开58小时去你心里'
+    ]
   },
   {
-    name: '喝茶',
+    name: '咖啡',
     defaultVideo: 'hc-bd-3.mp4',
     interactionVideo: 'hc-sh-3(1).mp4',
-    tag: 'tea',
+    tag: 'coffee',
-    apiKey: 'bot-20250804180724-4dgtk' // 喝茶场景的API key
+    apiKey: 'bot-20250804180724-4dgtk', // 喝茶场景的API key
+    openingLines: [
+      '拿铁拉花是你上次画的爱心形状，甜度刚好',
+      '摩卡有点苦，要是加上你的笑容就甜了',
+      '咖啡师问我一个人？我说在等我的甜度',
+      '今天的冰拿铁好甜，是不是你偷偷往我杯子里撒糖了？',
+      '拉花师给我在咖啡里画了颗心形的奶泡，说是给视频里的小仙女加糖',
+      // '这杯好苦…但一看到你，就自动回甘了。比加十包糖都管用。你说你是不是我的专属甜味剂？'
+    ]
   },
   {
     name: '睡觉',
     defaultVideo: '8-8-sj-bd.mp4',
     interactionVideo: '8-8-sj-sh-1.mp4',
     tag: 'sleep',
-    apiKey: 'bot-20250808120704-lbxwj' // 睡觉场景的API key
+    apiKey: 'bot-20250808120704-lbxwj', // 睡觉场景的API key
+    openingLines: [
+      '宝贝，一看到你，我这电量‘噌’就满了。准备关机前最后充会儿电…嗯，用眼睛充。',
+      '熄灯前最后一道光是你，真好。感觉今天积攒的烦心事，都被你眼睛里的星星照没了。',
+      '唉…手指头碰不到你屏幕都嫌凉。下次见面，这距离得用抱抱补回来，利息按秒算。',
+      '周围好安静，就剩你的呼吸声当背景音乐了。比什么助眠App都好使…就是听久了，心跳会抢拍子。',
+      '困不困？我眼皮在打架了…但就是想再多看你几秒。感觉多看一秒，梦里遇见你的概率就大一点。',
+      '好啦，我的小月亮，该哄世界睡觉了…但你先哄哄我？随便说句什么，我当睡前故事收藏。',
+      '捕捉到一只睡前小可爱…成功！',
+      '世界要静音了…但你的声音是白名单。多说几句？'
+    ]
   }
 ];
 
@@ -273,6 +310,37 @@ app.get('/api/default-video', (req, res) => {
   });
 });
 
+// 在现有的API接口后添加
+app.get('/api/current-scene/opening-line', (req, res) => {
+  try {
+    const currentScene = getCurrentScene();
+    if (currentScene && currentScene.openingLines && currentScene.openingLines.length > 0) {
+      // 随机选择一个开场白
+      const randomIndex = Math.floor(Math.random() * currentScene.openingLines.length);
+      const selectedOpeningLine = currentScene.openingLines[randomIndex];
+      
+      res.json({
+        success: true,
+        openingLine: selectedOpeningLine,
+        sceneName: currentScene.name,
+        sceneTag: currentScene.tag
+      });
+    } else {
+      res.json({
+        success: false,
+        message: '当前场景没有配置开场白'
+      });
+    }
+  } catch (error) {
+    console.error('获取开场白失败:', error);
+    res.status(500).json({
+      success: false,
+      message: '获取开场白失败',
+      error: error.message
+    });
+  }
+});
+
 // Socket.IO 连接处理
 io.on('connection', (socket) => {
   console.log('用户连接:', socket.id);

src/chat_with_audio.js

@@ -61,16 +61,15 @@ function updateHistoryMessage(userInput, assistantResponse) {
     );
     
     // 可选：限制历史消息数量，保持最近的对话
-    // const maxMessages = 20; // 保留最近10轮对话（20条消息）
+    const maxMessages = 20; // 保留最近10轮对话（20条消息）
-    // if (historyMessage.length > maxMessages) {
+    if (historyMessage.length > maxMessages) {
-    //     // 保留系统消息和最近的对话
+        // 保留系统消息和最近的对话
-    //     const systemMessages = historyMessage.filter(msg => msg.role === 'system');
+        const systemMessages = historyMessage.filter(msg => msg.role === 'system');
-    //     const recentMessages = historyMessage.slice(-maxMessages + systemMessages.length);
+        const recentMessages = historyMessage.slice(-maxMessages + systemMessages.length);
-    //     historyMessage = [...systemMessages, ...recentMessages.filter(msg => msg.role !== 'system')];
+        historyMessage = [...systemMessages, ...recentMessages.filter(msg => msg.role !== 'system')];
-    // }
+    }
 }
 
-// 保存消息到服务端
 // 保存消息到服务端
 async function saveMessage(userInput, assistantResponse) {
     try {
@@ -198,7 +197,7 @@ async function chatWithAudioStream(userInput) {
 }
 
 // 导出初始化函数，供外部调用
-export { chatWithAudioStream, initializeHistoryMessage, getCurrentHistoryMessage };
+export { chatWithAudioStream, initializeHistoryMessage, getCurrentHistoryMessage, saveMessage, updateHistoryMessage };
 
 // 处理音频播放队列
 async function processAudioQueue() {

src/config.example.js

@@ -1,94 +0,0 @@
-// 示例配置文件 - 请复制此文件为 config.js 并填入实际的API密钥
-export const config = {
-  // LLM API配置
-  llm: {
-    apiKey: 'your_ark_api_key_here', // 请替换为实际的ARK API密钥
-    model: 'bot-20250720193048-84fkp',
-  },
-  
-  // Minimaxi API配置
-  minimaxi: {
-    apiKey: 'your_minimaxi_api_key_here', // 请替换为实际的Minimaxi API密钥
-    groupId: 'your_minimaxi_group_id_here', // 请替换为实际的Minimaxi Group ID
-  },
-  
-  // 音频配置
-  audio: {
-    model: 'speech-02-hd',
-    voiceSetting: {
-      voice_id: 'yantu-qinggang',
-      speed: 1,
-      vol: 1,
-      pitch: 0,
-      emotion: 'happy',
-    },
-    audioSetting: {
-      sample_rate: 32000,
-      bitrate: 128000,
-      format: 'mp3',
-    },
-  },
-  
-  // 系统配置
-  system: {
-    language_boost: 'auto',
-    output_format: 'hex',
-    stream: true,
-  },
-};
-
-// 验证配置是否完整
-export function validateConfig() {
-  const requiredFields = [
-    'llm.apiKey',
-    'llm.model',
-    'minimaxi.apiKey',
-    'minimaxi.groupId'
-  ];
-  
-  const missingFields = [];
-  
-  for (const field of requiredFields) {
-    const keys = field.split('.');
-    let value = config;
-    for (const key of keys) {
-      value = value[key];
-      if (!value) break;
-    }
-    
-    if (!value || value === 'your_ark_api_key_here' || value === 'your_minimaxi_api_key_here' || value === 'your_minimaxi_group_id_here') {
-      missingFields.push(field);
-    }
-  }
-  
-  if (missingFields.length > 0) {
-    console.warn('配置不完整，请检查以下字段:', missingFields);
-    return false;
-  }
-  
-  return true;
-}
-
-// 获取配置的便捷方法
-export function getLLMConfig() {
-  return {
-    apiKey: config.llm.apiKey,
-    model: config.llm.model,
-  };
-}
-
-export function getMinimaxiConfig() {
-  return {
-    apiKey: config.minimaxi.apiKey,
-    groupId: config.minimaxi.groupId,
-  };
-}
-
-export function getAudioConfig() {
-  return {
-    model: config.audio.model,
-    voiceSetting: config.audio.voiceSetting,
-    audioSetting: config.audio.audioSetting,
-    ...config.system,
-  };
-} 

src/debug_audio.js

@@ -1,26 +0,0 @@
-// 调试音频数据
-function debugAudioData(audioHex) {
-  console.log('=== 音频数据调试 ===');
-  console.log('音频数据长度:', audioHex.length);
-  console.log('音频数据前100个字符:', audioHex.substring(0, 100));
-  console.log('音频数据后100个字符:', audioHex.substring(audioHex.length - 100));
-  
-  // 检查是否有重复模式
-  const halfLength = Math.floor(audioHex.length / 2);
-  const firstHalf = audioHex.substring(0, halfLength);
-  const secondHalf = audioHex.substring(halfLength);
-  
-  if (firstHalf === secondHalf) {
-    console.log('⚠️ 警告：音频数据可能是重复的！');
-  } else {
-    console.log('✅ 音频数据没有重复');
-  }
-}
-
-// 如果在浏览器环境中运行
-if (typeof window !== 'undefined') {
-  window.debugAudioData = debugAudioData;
-  console.log('音频调试函数已挂载到 window.debugAudioData');
-}
-
-export { debugAudioData }; 

src/index.js

@@ -1,7 +1,8 @@
 console.log('视频文件:');
 // WebRTC 音视频通话应用
 // import { chatWithAudioStream } from './chat_with_audio.js';
-import { chatWithAudioStream, initializeHistoryMessage } from './chat_with_audio.js';
+import { chatWithAudioStream, initializeHistoryMessage, updateHistoryMessage } from './chat_with_audio.js';
+
 import { AudioProcessor } from './audio_processor.js';
 
 // 在应用初始化时调用
@@ -74,6 +75,10 @@ class WebRTCChat {
         this.preloadVideoResources();
         this.bindEvents();
 
+        // 添加开场白相关属性
+        this.openingAudioData = null;
+        this.isOpeningAudioReady = false;
+        
         // 在初始化完成后预加载常用视频
         // setTimeout(() => {
         //     this.logMessage('开始预加载常用视频...', 'info');
@@ -234,6 +239,110 @@ class WebRTCChat {
         }
     }
     
+    // 新增方法：初始化开场白音频
+    async initializeOpeningAudio() {
+        try {
+            console.log('开始初始化开场白音频...');
+            
+            // 获取当前场景的开场白
+            const response = await fetch('/api/current-scene/opening-line');
+            const data = await response.json();
+            
+            if (data.success && data.openingLine) {
+                console.log(`获取到开场白: ${data.openingLine}`);
+                
+                // 生成开场白音频
+                await this.generateOpeningAudio(data.openingLine);
+                this.logMessage(`开场白音频已准备就绪: ${data.openingLine}`, 'success');
+            } else {
+                console.warn('未获取到开场白:', data.message);
+            }
+        } catch (error) {
+            console.error('初始化开场白音频失败:', error);
+            this.logMessage(`开场白音频初始化失败: ${error.message}`, 'error');
+        }
+    }
+    
+    // 新增方法：生成开场白音频
+    async generateOpeningAudio(text) {
+        try {
+            // 动态导入 minimaxi_stream 模块
+            const { requestMinimaxi } = await import('./minimaxi_stream.js');
+            const { getMinimaxiConfig, getAudioConfig, getLLMConfigByScene } = await import('./config.js');
+            const { saveMessage } = await import('./chat_with_audio.js');
+            
+            const minimaxiConfig = getMinimaxiConfig();
+            const audioConfig = getAudioConfig();
+            const llmConfig = await getLLMConfigByScene();
+            
+            const requestBody = {
+                model: audioConfig.model,
+                text: text,
+                voice_setting: audioConfig.voiceSetting,
+                audio_setting: audioConfig.audioSetting,
+                language_boost: 'auto',
+                output_format: 'hex'
+            };
+            
+            console.log('开始生成开场白音频...');
+            
+            // 生成音频数据
+            const audioHexData = await requestMinimaxi({
+                apiKey: minimaxiConfig.apiKey,
+                groupId: minimaxiConfig.groupId,
+                body: requestBody,
+                stream: false, // 非流式，一次性获取完整音频
+                textPlay: false
+            });
+            
+            if (audioHexData && audioHexData.data && audioHexData.data.audio) {
+                this.openingAudioData = audioHexData.data.audio;
+                this.isOpeningAudioReady = true;
+                console.log('开场白音频生成成功');
+            }
+            // 先更新本地历史消息
+            updateHistoryMessage(`场景切换-${llmConfig.sceneName}`, text);
+
+            await saveMessage(`场景切换-${llmConfig.sceneName}`,text);
+
+        } catch (error) {
+            console.error('生成开场白音频失败:', error);
+            throw error;
+        }
+    }
+    
+    // 新增方法：播放开场白音频
+    async playOpeningAudio() {
+        if (!this.isOpeningAudioReady || !this.openingAudioData) {
+            console.warn('开场白音频未准备就绪');
+            return;
+        }
+        
+        try {
+            // 动态导入 addAudioToQueue 函数
+            const { addAudioToQueue } = await import('./minimaxi_stream.js');
+            
+            console.log('将开场白音频添加到队列');
+            await addAudioToQueue(this.openingAudioData);
+            
+            this.logMessage('开场白音频已开始播放', 'success');
+        } catch (error) {
+            console.error('播放开场白音频失败:', error);
+            this.logMessage(`播放开场白音频失败: ${error.message}`, 'error');
+        }
+    }
+    
+    // 新增方法：获取开场白音频时长
+    getOpeningAudioDuration() {
+        // 估算开场白音频时长，可以根据实际情况调整
+        // 这里假设平均每个字符对应100ms的音频时长
+        if (this.openingAudioData) {
+            // 简单估算：假设开场白大约3-5秒
+            return 4000; // 4秒
+        }
+        return 3000; // 默认3秒
+    }
+
     async loadVideoMapping() {
         try {
             const response = await fetch('/api/video-mapping');
@@ -432,6 +541,7 @@ class WebRTCChat {
 
     // 预创建重要视频流
     async precreateImportantVideos() {
+
         if (this.isInitialized) return;
         
         console.log('开始预创建重要流...', 'info');
@@ -1152,6 +1262,9 @@ class WebRTCChat {
             // 切换到通话中图标
             this.switchToCallingIcon();
 
+            // 在初始化完成后生成开场白音频
+            await this.initializeOpeningAudio();
+            
             // 现在才开始显示视频
             await this.startDefaultVideoStream();
             
@@ -1164,7 +1277,6 @@ class WebRTCChat {
             console.log('麦克风权限获取成功');
             
             await this.createPeerConnection();
-            await this.startVoiceRecording();
             
             this.startButton.disabled = true;
         this.startButton.style.opacity = '0.5'
@@ -1194,6 +1306,26 @@ class WebRTCChat {
         // 通知服务器通话开始
         this.socket.emit('call-started');
         
+        // 播放开场白，然后启动语音录制
+        if (this.isOpeningAudioReady) {
+            console.log('播放开场白音频...');
+            await this.playOpeningAudio();
+            
+            // 等待开场白播放完成后再启动语音录制
+            setTimeout(async () => {
+                console.log('开场白播放完成，启动语音录制...');
+                await this.startVoiceRecording();
+                this.logMessage('语音录制已启动，可以开始对话', 'success');
+            }, this.getOpeningAudioDuration() + 1000); // 开场白时长 + 1秒缓冲
+        } else {
+            console.warn('开场白音频尚未准备就绪，延迟启动语音录制');
+            // 如果没有开场白，延迟500ms后启动录制
+            setTimeout(async () => {
+                await this.startVoiceRecording();
+                this.logMessage('语音录制已启动，可以开始对话', 'success');
+            }, 500);
+        }
+            
             // 开始播放当前场景的默认视频
             // await this.precreateImportantVideos();
 

src/llm_stream.js

@@ -1,5 +1,35 @@
 // 以流式方式请求LLM大模型接口，并打印流式返回内容
 
+// 过滤旁白内容的函数
+function filterNarration(text) {
+  if (!text) return text;
+  
+  // 匹配各种括号内的旁白内容
+  // 包括：（）、【】、[]、{}、〈〉、《》等
+  const narrationPatterns = [
+    /（[^）]*）/g,  // 中文圆括号
+    /\([^)]*\)/g,   // 英文圆括号
+    /【[^】]*】/g,   // 中文方括号
+    /\[[^\]]*\]/g,  // 英文方括号
+    /\{[^}]*\}/g,   // 花括号
+    /〈[^〉]*〉/g,   // 中文尖括号
+    /《[^》]*》/g,   // 中文书名号
+    /<[^>]*>/g     // 英文尖括号
+  ];
+  
+  let filteredText = text;
+  
+  // 逐个应用过滤规则
+  narrationPatterns.forEach(pattern => {
+    filteredText = filteredText.replace(pattern, '');
+  });
+  
+  // 清理多余的空格和换行
+  filteredText = filteredText.replace(/\s+/g, ' ').trim();
+  
+  return filteredText;
+}
+
 async function requestLLMStream({ apiKey, model, messages, onSegment }) {
   const response = await fetch('https://ark.cn-beijing.volces.com/api/v3/bots/chat/completions', {
     method: 'POST',
@@ -54,7 +84,14 @@ async function requestLLMStream({ apiKey, model, messages, onSegment }) {
             // 处理最后的待处理文本（无论长度是否大于5个字）
             if (pendingText.trim() && onSegment) {
               console.log('处理最后的待处理文本:', pendingText.trim());
-              await onSegment(pendingText.trim(), true);
+              // 过滤旁白内容
+              const filteredText = filterNarration(pendingText.trim());
+              if (filteredText.trim()) {
+                console.log('过滤旁白后的最后文本:', filteredText);
+                await onSegment(filteredText, true);
+              } else {
+                console.log('最后的文本被完全过滤，跳过');
+              }
             }
             continue;
           }
@@ -65,12 +102,15 @@ async function requestLLMStream({ apiKey, model, messages, onSegment }) {
               const deltaContent = obj.choices[0].delta.content;
               content += deltaContent;
               pendingText += deltaContent;
-              console.log('LLM内容片段:', deltaContent);
+              console.log('【未过滤】LLM内容片段:', pendingText);
               
-              // 检查是否包含分段分隔符
+              // 先过滤旁白，再检查分段分隔符
-              if (segmentDelimiters.test(pendingText)) {
+              const filteredPendingText = filterNarration(pendingText);
-                // 按分隔符分割文本
+              
-                const segments = pendingText.split(segmentDelimiters);
+              // 检查过滤后的文本是否包含分段分隔符
+              if (segmentDelimiters.test(filteredPendingText)) {
+                // 按分隔符分割已过滤的文本
+                const segments = filteredPendingText.split(segmentDelimiters);
                 
                 // 重新组合处理：只处理足够长的完整段落
                 let accumulatedText = '';
@@ -81,25 +121,30 @@ async function requestLLMStream({ apiKey, model, messages, onSegment }) {
                   if (segment) {
                     accumulatedText += segment;
                     // 找到分隔符
-                    const delimiterMatch = pendingText.match(segmentDelimiters);
+                    const delimiterMatch = filteredPendingText.match(segmentDelimiters);
                     if (delimiterMatch) {
                       accumulatedText += delimiterMatch[0];
                     }
                     
                     // 如果累积文本长度大于5个字，处理它
                     if (accumulatedText.length > 8 && onSegment) {
-                      console.log('检测到完整段落:', accumulatedText);
+                      console.log('【已过滤】检测到完整段落:', accumulatedText);
+                      // 文本已经过滤过旁白，直接使用
+                      if (accumulatedText.trim()) {
+                        console.log('处理过滤后的文本:', accumulatedText);
                         await onSegment(accumulatedText, false);
+                      }
                       hasProcessed = true;
                       accumulatedText = ''; // 重置
                     }
                   }
                 }
                 
-                // 更新pendingText
+                // 更新pendingText - 使用原始文本但需要相应调整
                 if (hasProcessed) {
-                  // 保留未处理的累积文本和最后一个不完整段落
+                  // 计算已处理的原始文本长度，更新pendingText
-                  pendingText = accumulatedText + (segments[segments.length - 1] || '');
+                  const processedLength = pendingText.length - (segments[segments.length - 1] || '').length;
+                  pendingText = pendingText.substring(processedLength);
                 }
               }
             }

src/minimaxi_stream.js

@@ -431,4 +431,4 @@ function generateUUID() {
   });
 }
 
-export { requestMinimaxi, requestVolcanTTS };
+export { requestMinimaxi, requestVolcanTTS, addAudioToQueue };

src/new_app.js

@@ -1,346 +0,0 @@
-let ASRTEXT = ''
-
-class HttpASRRecognizer {
-    constructor() {
-        this.mediaRecorder = null;
-        this.audioContext = null;
-        this.isRecording = false;
-        this.audioChunks = [];
-        
-        // VAD相关属性
-        this.isSpeaking = false;
-        this.silenceThreshold = 0.01;
-        this.silenceTimeout = 1000;
-        this.minSpeechDuration = 300;
-        this.silenceTimer = null;
-        this.speechStartTime = null;
-        this.audioBuffer = [];
-        
-        // API配置
-        this.apiConfig = {
-            url: 'https://openspeech.bytedance.com/api/v3/auc/bigmodel/recognize/flash',
-            headers: {
-                'X-Api-App-Key': '1988591469',
-                'X-Api-Access-Key': 'mdEyhgZ59on1-NK3GXWAp3L4iLldSG0r',
-                'X-Api-Resource-Id': 'volc.bigasr.auc_turbo',
-                'X-Api-Request-Id': this.generateUUID(),
-                'X-Api-Sequence': '-1',
-                'Content-Type': 'application/json'
-            }
-        };
-        
-        this.recordBtn = document.getElementById('startVoiceButton');
-        this.statusDiv = document.getElementById('status');
-        this.resultsDiv = document.getElementById('results');
-        
-        this.initEventListeners();
-    }
-    
-    initEventListeners() {
-        this.recordBtn.addEventListener('click', () => {
-            if (this.isRecording) {
-                this.stopRecording();
-            } else {
-                this.startRecording();
-            }
-        });
-    }
-    
-    // 生成UUID
-    generateUUID() {
-        return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
-            const r = Math.random() * 16 | 0;
-            const v = c == 'x' ? r : (r & 0x3 | 0x8);
-            return v.toString(16);
-        });
-    }
-    
-    // 计算音频能量(音量)
-    calculateAudioLevel(audioData) {
-        let sum = 0;
-        for (let i = 0; i < audioData.length; i++) {
-            sum += audioData[i] * audioData[i];
-        }
-        return Math.sqrt(sum / audioData.length);
-    }
-    
-    // 语音活动检测
-    detectVoiceActivity(audioData) {
-        const audioLevel = this.calculateAudioLevel(audioData);
-        const currentTime = Date.now();
-        
-        if (audioLevel > this.silenceThreshold) {
-            if (!this.isSpeaking) {
-                this.isSpeaking = true;
-                this.speechStartTime = currentTime;
-                this.audioBuffer = [];
-                this.updateStatus('检测到语音，开始录音...', 'speaking');
-                console.log('开始说话');
-            }
-            
-            if (this.silenceTimer) {
-                clearTimeout(this.silenceTimer);
-                this.silenceTimer = null;
-            }
-            
-            return true;
-        } else {
-            if (this.isSpeaking && !this.silenceTimer) {
-                this.silenceTimer = setTimeout(() => {
-                    this.onSpeechEnd();
-                }, this.silenceTimeout);
-            }
-            
-            return this.isSpeaking;
-        }
-    }
-    
-    // 语音结束处理
-    async onSpeechEnd() {
-        if (this.isSpeaking) {
-            const speechDuration = Date.now() - this.speechStartTime;
-            
-            if (speechDuration >= this.minSpeechDuration) {
-                console.log(`语音结束，时长: ${speechDuration}ms`);
-                await this.processAudioBuffer();
-                // this.updateStatus('语音识别中...', 'processing');
-                console.log('语音识别中')
-            } else {
-                console.log('说话时长太短，忽略');
-                // this.updateStatus('等待语音输入...', 'ready');
-                console.log('等待语音输入...')
-
-            }
-            
-            this.isSpeaking = false;
-            this.speechStartTime = null;
-            this.audioBuffer = [];
-        }
-        
-        if (this.silenceTimer) {
-            clearTimeout(this.silenceTimer);
-            this.silenceTimer = null;
-        }
-    }
-    
-    // 处理音频缓冲区并发送到API
-    async processAudioBuffer() {
-        if (this.audioBuffer.length === 0) {
-            return;
-        }
-        
-        try {
-            // 合并所有音频数据
-            const totalLength = this.audioBuffer.reduce((sum, buffer) => sum + buffer.length, 0);
-            const combinedBuffer = new Float32Array(totalLength);
-            let offset = 0;
-            
-            for (const buffer of this.audioBuffer) {
-                combinedBuffer.set(buffer, offset);
-                offset += buffer.length;
-            }
-            
-            // 转换为WAV格式并编码为base64
-            const wavBuffer = this.encodeWAV(combinedBuffer, 16000);
-            const base64Audio = this.arrayBufferToBase64(wavBuffer);
-            
-            // 调用ASR API
-            await this.callASRAPI(base64Audio);
-            
-        } catch (error) {
-            console.error('处理音频数据失败:', error);
-            this.updateStatus('识别失败', 'error');
-        }
-    }
-    
-    // 调用ASR API
-    async callASRAPI(base64AudioData) {
-        try {
-            const requestBody = {
-                user: {
-                    uid: "1988591469"
-                },
-                audio: {
-                    data: base64AudioData
-                },
-                request: {
-                    model_name: "bigmodel"
-                }
-            };
-            
-            const response = await fetch(this.apiConfig.url, {
-                method: 'POST',
-                headers: this.apiConfig.headers,
-                body: JSON.stringify(requestBody)
-            });
-            
-            if (!response.ok) {
-                throw new Error(`HTTP error! status: ${response.status}`);
-            }
-            
-            const result = await response.json();
-            this.handleASRResponse(result);
-            
-        } catch (error) {
-            console.error('ASR API调用失败:', error);
-            this.updateStatus('API调用失败', 'error');
-        }
-    }
-    
-    // 处理ASR响应
-    handleASRResponse(response) {
-        console.log('ASR响应:', response);
-        
-        if (response && response.data && response.data.result) {
-            ASRTEXT = response.data.result;
-            // this.displayResult(text);
-            // this.updateStatus('识别完成', 'completed');
-            console.log('识别完成')
-        } else {
-            console.log('未识别到文字');
-            // this.updateStatus('未识别到文字', 'ready');
-
-        }
-    }
-    
-    // 显示识别结果
-    displayResult(text) {
-        const resultElement = document.createElement('div');
-        resultElement.className = 'result-item';
-        resultElement.innerHTML = `
-            <span class="timestamp">${new Date().toLocaleTimeString()}</span>
-            <span class="text">${text}</span>
-        `;
-        this.resultsDiv.appendChild(resultElement);
-        this.resultsDiv.scrollTop = this.resultsDiv.scrollHeight;
-    }
-    
-    // 更新状态显示
-    updateStatus(message, status) {
-        this.statusDiv.textContent = message;
-        this.statusDiv.className = `status ${status}`;
-    }
-    
-    // 编码WAV格式
-    encodeWAV(samples, sampleRate) {
-        const length = samples.length;
-        const buffer = new ArrayBuffer(44 + length * 2);
-        const view = new DataView(buffer);
-        
-        // WAV文件头
-        const writeString = (offset, string) => {
-            for (let i = 0; i < string.length; i++) {
-                view.setUint8(offset + i, string.charCodeAt(i));
-            }
-        };
-        
-        writeString(0, 'RIFF');
-        view.setUint32(4, 36 + length * 2, true);
-        writeString(8, 'WAVE');
-        writeString(12, 'fmt ');
-        view.setUint32(16, 16, true);
-        view.setUint16(20, 1, true);
-        view.setUint16(22, 1, true);
-        view.setUint32(24, sampleRate, true);
-        view.setUint32(28, sampleRate * 2, true);
-        view.setUint16(32, 2, true);
-        view.setUint16(34, 16, true);
-        writeString(36, 'data');
-        view.setUint32(40, length * 2, true);
-        
-        // 写入音频数据
-        let offset = 44;
-        for (let i = 0; i < length; i++) {
-            const sample = Math.max(-1, Math.min(1, samples[i]));
-            view.setInt16(offset, sample * 0x7FFF, true);
-            offset += 2;
-        }
-        
-        return buffer;
-    }
-    
-    // ArrayBuffer转Base64
-    arrayBufferToBase64(buffer) {
-        let binary = '';
-        const bytes = new Uint8Array(buffer);
-        for (let i = 0; i < bytes.byteLength; i++) {
-            binary += String.fromCharCode(bytes[i]);
-        }
-        return btoa(binary);
-    }
-    
-    async startRecording() {
-        try {
-            const stream = await navigator.mediaDevices.getUserMedia({
-                audio: {
-                    sampleRate: 16000,
-                    channelCount: 1,
-                    echoCancellation: true,
-                    noiseSuppression: true
-                }
-            });
-            
-            this.audioContext = new (window.AudioContext || window.webkitAudioContext)({
-                sampleRate: 16000
-            });
-            
-            const source = this.audioContext.createMediaStreamSource(stream);
-            const processor = this.audioContext.createScriptProcessor(4096, 1, 1);
-            
-            processor.onaudioprocess = (event) => {
-                const inputBuffer = event.inputBuffer;
-                const inputData = inputBuffer.getChannelData(0);
-                
-                // 语音活动检测
-                if (this.detectVoiceActivity(inputData)) {
-                    // 如果检测到语音活动，缓存音频数据
-                    this.audioBuffer.push(new Float32Array(inputData));
-                }
-            };
-            
-            source.connect(processor);
-            processor.connect(this.audioContext.destination);
-            
-            this.isRecording = true;
-            this.recordBtn.textContent = '停止录音';
-            this.recordBtn.className = 'btn recording';
-            // this.updateStatus('等待语音输入...', 'ready');
-            
-        } catch (error) {
-            console.error('启动录音失败:', error);
-            // this.updateStatus('录音启动失败', 'error');
-        }
-    }
-    
-    stopRecording() {
-        if (this.audioContext) {
-            this.audioContext.close();
-            this.audioContext = null;
-        }
-        
-        if (this.silenceTimer) {
-            clearTimeout(this.silenceTimer);
-            this.silenceTimer = null;
-        }
-        
-        // 如果正在说话，处理最后的音频
-        if (this.isSpeaking) {
-            this.onSpeechEnd();
-        }
-        
-        this.isRecording = false;
-        this.isSpeaking = false;
-        this.audioBuffer = [];
-        
-        this.recordBtn.textContent = '开始录音';
-        this.recordBtn.className = 'btn';
-        console.log('录音已停止');
-        // this.updateStatus('录音已停止', 'stopped');
-    }
-}
-
-// 初始化应用
-document.addEventListener('DOMContentLoaded', () => {
-    const asrRecognizer = new HttpASRRecognizer();
-    console.log('HTTP ASR识别器已初始化');
-});

src/video_audio_sync.js

@@ -1,44 +0,0 @@
-import { requestMinimaxi } from './minimaxi_stream.js';
-import { getMinimaxiConfig } from './config.js';
-
-export async function playVideoWithAudio(videoPath, text) {
-  // 1. 初始化视频播放
-  const video = document.createElement('video');
-  video.src = videoPath;
-  document.body.appendChild(video);
-  
-  // 2. 启动音频合成流
-  const minimaxiConfig = getMinimaxiConfig();
-  const audioStream = await requestMinimaxi({
-    apiKey: minimaxiConfig.apiKey,
-    groupId: minimaxiConfig.groupId,
-    body: {
-      model: 'speech-01-turbo',
-      text,
-      output_format: 'hex', // 流式场景必须使用hex
-      voice_setting: {
-        voice_id: 'tianbing_xinggan_03',
-        speed: 1
-      }
-    },
-    stream: true
-  });
-
-  // 3. 将音频hex转换为可播放格式
-  const audioCtx = new AudioContext();
-  const audioBuffer = await audioCtx.decodeAudioData(
-    hexToArrayBuffer(audioStream.data.audio)
-  );
-  
-  // 4. 同步播放
-  const source = audioCtx.createBufferSource();
-  source.buffer = audioBuffer;
-  source.connect(audioCtx.destination);
-  
-  video.play();
-  source.start(0);
-}
-
-function hexToArrayBuffer(hex) {
-  // ... hex转ArrayBuffer实现
-}

src/video_queue_test.js

@@ -1,89 +0,0 @@
-// 视频播放队列系统测试
-// 这个文件用于测试新的视频播放逻辑
-
-export class VideoQueueTester {
-    constructor(webrtcApp) {
-        this.webrtcApp = webrtcApp;
-    }
-    
-    // 测试视频队列功能
-    async testVideoQueue() {
-        console.log('开始测试视频播放队列系统...');
-        
-        // 测试1: 添加视频到队列
-        await this.testAddToQueue();
-        
-        // 测试2: 测试视频播放完成等待
-        await this.testWaitForVideoFinish();
-        
-        // 测试3: 测试音频视频同步
-        await this.testAudioVideoSync();
-        
-        console.log('视频播放队列系统测试完成');
-    }
-    
-    // 测试添加视频到队列
-    async testAddToQueue() {
-        console.log('测试1: 添加视频到队列');
-        
-        // 清空队列
-        this.webrtcApp.videoQueue = [];
-        
-        // 添加测试视频
-        await this.webrtcApp.addToVideoQueue('5.mp4', 'test', '测试视频1');
-        await this.webrtcApp.addToVideoQueue('s-1.mp4', 'test', '测试视频2');
-        
-        console.log(`队列长度: ${this.webrtcApp.videoQueue.length}`);
-        console.log('队列内容:', this.webrtcApp.videoQueue);
-    }
-    
-    // 测试等待视频播放完成
-    async testWaitForVideoFinish() {
-        console.log('测试2: 等待视频播放完成');
-        
-        // 模拟视频播放状态
-        this.webrtcApp.isVideoPlaying = true;
-        
-        // 模拟视频播放完成
-        setTimeout(() => {
-            this.webrtcApp.isVideoPlaying = false;
-            console.log('模拟视频播放完成');
-        }, 2000);
-        
-        console.log('等待视频播放完成...');
-        await this.webrtcApp.waitForCurrentVideoToFinish();
-        console.log('视频播放完成等待测试通过');
-    }
-    
-    // 测试音频视频同步
-    async testAudioVideoSync() {
-        console.log('测试3: 音频视频同步');
-        
-        // 模拟音频播放开始
-        window.isPlaying = true;
-        
-        // 添加视频到队列
-        await this.webrtcApp.addToVideoQueue('5.mp4', 'audio', '音频同步测试');
-        
-        // 模拟音频播放结束
-        setTimeout(() => {
-            window.isPlaying = false;
-            console.log('模拟音频播放结束');
-        }, 3000);
-        
-        console.log('音频视频同步测试完成');
-    }
-    
-    // 运行所有测试
-    async runAllTests() {
-        try {
-            await this.testVideoQueue();
-            console.log('所有测试通过！');
-        } catch (error) {
-            console.error('测试失败:', error);
-        }
-    }
-}
-
-// 导出测试类
-export default VideoQueueTester;