feat: 项目初始化、完成基本流式传输和语音识别功能
This commit is contained in:
154
web/src/stores/asr_store.ts
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154
web/src/stores/asr_store.ts
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import { useWebSocketStore } from "@/services";
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import { convertToPCM16 } from "@/utils";
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export const useAsrStore = defineStore("asr", () => {
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// 是否正在录音
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const isRecording = ref(false);
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// 识别结果消息列表
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const messages = ref<string[]>([]);
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// 音频相关对象
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let audioContext: AudioContext | null = null;
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let mediaStreamSource: MediaStreamAudioSourceNode | null = null;
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let workletNode: AudioWorkletNode | null = null;
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// 获取 WebSocket store 实例
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const webSocketStore = useWebSocketStore();
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/**
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* 发送消息到 WebSocket
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* @param data 字符串或二进制数据
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*/
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const sendMessage = (data: string | Uint8Array) => {
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// 仅在连接已建立时发送
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if (webSocketStore.connected) {
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if (typeof data === "string") {
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webSocketStore.send(data);
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}
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else {
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webSocketStore.websocket?.send(data);
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}
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}
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};
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// AudioWorklet 处理器代码,作为字符串
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const audioProcessorCode = `
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class AudioProcessor extends AudioWorkletProcessor {
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process(inputs, outputs, parameters) {
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const input = inputs[0]
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if (input.length > 0) {
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const inputChannel = input[0]
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// 发送音频数据到主线程
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this.port.postMessage({
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type: 'audiodata',
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data: inputChannel
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})
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}
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return true
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}
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}
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registerProcessor('audio-processor', AudioProcessor)
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`;
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/**
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* 开始录音
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*/
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const startRecording = async () => {
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if (isRecording.value)
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return;
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messages.value = [];
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// 确保 WebSocket 已连接
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if (!webSocketStore.connected) {
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webSocketStore.connect();
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// 等待连接建立
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await new Promise<void>((resolve) => {
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const check = () => {
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if (webSocketStore.connected)
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resolve();
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else setTimeout(check, 100);
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};
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check();
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});
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}
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try {
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// 获取麦克风音频流
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const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
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// 创建音频上下文,采样率16kHz
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audioContext = new (window.AudioContext || (window as any).webkitAudioContext)({
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sampleRate: 16000,
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});
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// 用Blob方式创建AudioWorklet模块的URL
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const blob = new Blob([audioProcessorCode], { type: "application/javascript" });
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const processorUrl = URL.createObjectURL(blob);
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// 加载AudioWorklet模块
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await audioContext.audioWorklet.addModule(processorUrl);
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// 释放URL对象(防止内存泄漏)
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URL.revokeObjectURL(processorUrl);
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// 创建音频源节点
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mediaStreamSource = audioContext.createMediaStreamSource(stream);
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// 创建AudioWorkletNode
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workletNode = new AudioWorkletNode(audioContext, "audio-processor", {
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numberOfInputs: 1,
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numberOfOutputs: 1,
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channelCount: 1,
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});
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// 监听来自AudioWorklet的音频数据
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workletNode.port.onmessage = (event) => {
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if (event.data.type === "audiodata") {
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// 转换为16位PCM格式
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const pcmData = convertToPCM16(event.data.data);
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// 发送PCM数据到WebSocket
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sendMessage(pcmData);
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}
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};
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// 连接音频节点
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mediaStreamSource.connect(workletNode);
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workletNode.connect(audioContext.destination);
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isRecording.value = true;
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}
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catch (err) {
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// 麦克风权限失败或AudioWorklet加载失败
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console.error("需要麦克风权限才能录音", err);
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}
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};
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/**
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* 停止录音
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*/
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const stopRecording = () => {
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if (!isRecording.value)
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return;
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// 通知后端录音结束
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sendMessage(JSON.stringify({ type: "asr_end" }));
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// 停止所有音轨
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if (mediaStreamSource?.mediaStream) {
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const tracks = mediaStreamSource.mediaStream.getTracks();
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tracks.forEach(track => track.stop());
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}
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// 断开音频节点
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workletNode?.disconnect();
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mediaStreamSource?.disconnect();
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setTimeout(() => {
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// TODO: 临时写法,这里的更新状态需要调整
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// 确保在停止录音后延迟更新状态,因为要等待LLM请求
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isRecording.value = false;
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}, 300);
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// 释放音频资源
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audioContext?.close().then(() => {
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audioContext = null;
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mediaStreamSource = null;
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workletNode = null;
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});
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};
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return {
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isRecording,
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messages,
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startRecording,
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stopRecording,
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sendMessage,
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};
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});
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94
web/src/stores/chat_store.ts
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94
web/src/stores/chat_store.ts
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import type { IChatWithLLMRequest, ModelInfo, ModelListInfo } from "@/interfaces";
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import { ChatService } from "@/services";
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export const useChatStore = defineStore("chat", () => {
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const token = ("sk-fkGVZBrAqvIxLjlF3b5f19EfBb63486c90Fa5a1fBd7076Ee");
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// 默认模型
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const modelInfo = ref<ModelInfo | null>(null);
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// 历史消息
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const historyMessages = ref<IChatWithLLMRequest["messages"]>([]);
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// 是否正在响应
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const completing = ref<boolean>(false);
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// 在线人数
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const onlineCount = ref<number>(0);
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// 与 LLM 聊天
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const chatWithLLM = async (
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request: IChatWithLLMRequest,
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onProgress: (content: string) => void, // 接收进度回调
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) => {
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if (completing.value)
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throw new Error("正在响应中");
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completing.value = true; // 开始请求
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try {
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await ChatService.ChatWithLLM(token, request, (content) => {
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onProgress(content);
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});
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}
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catch (error) {
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console.error("请求失败:", error);
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}
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finally {
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completing.value = false;
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}
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};
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// 添加消息到历史记录
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const addMessageToHistory = (message: string) => {
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const content = message.trim();
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if (!content)
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return;
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historyMessages.value.push({
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role: "user",
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content,
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});
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};
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// 清除历史消息
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const clearHistoryMessages = () => {
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historyMessages.value = [];
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};
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watch(historyMessages, (newVal) => {
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// 当历史消息变化时,发送请求
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if (newVal.length > 0) {
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const lastMessage = newVal[newVal.length - 1];
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if (lastMessage.role === "user" && modelInfo.value) {
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chatWithLLM({
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messages: newVal,
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model: modelInfo.value?.model_id,
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}, (content) => {
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// 处理进度回调
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if (
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historyMessages.value.length === 0
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|| historyMessages.value[historyMessages.value.length - 1].role !== "assistant"
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) {
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historyMessages.value.push({
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role: "assistant",
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content: "",
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});
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}
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historyMessages.value[historyMessages.value.length - 1].content = content;
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});
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}
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}
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}, { deep: true });
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// 模型列表
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const modelList = ref<ModelListInfo[]>([]);
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// 获取模型列表
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const getModelList = async () => {
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try {
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const response = await ChatService.GetModelList();
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modelList.value = response.data.data;
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}
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catch (error) {
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console.error("获取模型列表失败:", error);
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}
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};
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return { token, completing, chatWithLLM, historyMessages, addMessageToHistory, clearHistoryMessages, getModelList, modelList, modelInfo, onlineCount };
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});
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2
web/src/stores/index.ts
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2
web/src/stores/index.ts
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@@ -0,0 +1,2 @@
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export * from "./asr_store"
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export * from "./chat_store"
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5
web/src/stores/user_store.ts
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5
web/src/stores/user_store.ts
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export const useUserStore = defineStore("user", () => {
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return {
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};
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});
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