mirror of
https://github.com/hicccc77/WeFlow.git
synced 2026-03-24 23:06:51 +00:00
feat: 实现语音转文字并支持流式输出；
fix: 修复了语音解密失败的问题
This commit is contained in:
cc
@@ -439,12 +439,14 @@ function registerIpcHandlers() {
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return chatService.getImageData(sessionId, msgId)
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})
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ipcMain.handle('chat:getVoiceData', async (_, sessionId: string, msgId: string) => {
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return chatService.getVoiceData(sessionId, msgId)
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ipcMain.handle('chat:getVoiceData', async (_, sessionId: string, msgId: string, createTime?: number, serverId?: string | number) => {
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return chatService.getVoiceData(sessionId, msgId, createTime, serverId)
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})
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ipcMain.handle('chat:getVoiceTranscript', async (_, sessionId: string, msgId: string) => {
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return chatService.getVoiceTranscript(sessionId, msgId)
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ipcMain.handle('chat:getVoiceTranscript', async (event, sessionId: string, msgId: string) => {
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return chatService.getVoiceTranscript(sessionId, msgId, (text) => {
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event.sender.send('chat:voiceTranscriptPartial', { msgId, text })
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})
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})
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ipcMain.handle('chat:getMessageById', async (_, sessionId: string, localId: number) => {
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@@ -521,14 +523,14 @@ function registerIpcHandlers() {
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return { success: true }
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})
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ipcMain.handle('whisper:downloadModel', async (event, payload: { modelName: string; downloadDir?: string; source?: string }) => {
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return voiceTranscribeService.downloadModel(payload, (progress) => {
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ipcMain.handle('whisper:downloadModel', async (event) => {
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return voiceTranscribeService.downloadModel((progress) => {
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event.sender.send('whisper:downloadProgress', progress)
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})
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})
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ipcMain.handle('whisper:getModelStatus', async (_, payload: { modelName: string; downloadDir?: string }) => {
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return voiceTranscribeService.getModelStatus(payload)
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ipcMain.handle('whisper:getModelStatus', async () => {
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return voiceTranscribeService.getModelStatus()
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})
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// 群聊分析相关
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@@ -106,8 +106,14 @@ contextBridge.exposeInMainWorld('electronAPI', {
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close: () => ipcRenderer.invoke('chat:close'),
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getSessionDetail: (sessionId: string) => ipcRenderer.invoke('chat:getSessionDetail', sessionId),
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getImageData: (sessionId: string, msgId: string) => ipcRenderer.invoke('chat:getImageData', sessionId, msgId),
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getVoiceData: (sessionId: string, msgId: string) => ipcRenderer.invoke('chat:getVoiceData', sessionId, msgId),
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getVoiceTranscript: (sessionId: string, msgId: string) => ipcRenderer.invoke('chat:getVoiceTranscript', sessionId, msgId)
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getVoiceData: (sessionId: string, msgId: string, createTime?: number, serverId?: string | number) =>
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ipcRenderer.invoke('chat:getVoiceData', sessionId, msgId, createTime, serverId),
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getVoiceTranscript: (sessionId: string, msgId: string) => ipcRenderer.invoke('chat:getVoiceTranscript', sessionId, msgId),
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onVoiceTranscriptPartial: (callback: (payload: { msgId: string; text: string }) => void) => {
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const listener = (_: any, payload: { msgId: string; text: string }) => callback(payload)
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ipcRenderer.on('chat:voiceTranscriptPartial', listener)
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return () => ipcRenderer.removeListener('chat:voiceTranscriptPartial', listener)
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}
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},
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@@ -324,7 +324,7 @@ class AnalyticsService {
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}
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private getCacheFilePath(): string {
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return join(app.getPath('userData'), 'analytics_cache.json')
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return join(app.getPath('documents'), 'WeFlow', 'analytics_cache.json')
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}
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private async loadCacheFromFile(): Promise<{ key: string; data: any; updatedAt: number } | null> {
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@@ -7,11 +7,7 @@ import * as http from 'http'
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import * as fzstd from 'fzstd'
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import * as crypto from 'crypto'
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import Database from 'better-sqlite3'
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import { execFile } from 'child_process'
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import { promisify } from 'util'
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import { app } from 'electron'
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const execFileAsync = promisify(execFile)
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import { ConfigService } from './config'
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import { wcdbService } from './wcdbService'
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import { MessageCacheService } from './messageCacheService'
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@@ -2149,7 +2145,107 @@ class ChatService {
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}
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}
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async getVoiceData(sessionId: string, msgId: string): Promise<{ success: boolean; data?: string; error?: string }> {
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/**
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* getVoiceData (优化的 C++ 实现 + 文件缓存)
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*/
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async getVoiceData(sessionId: string, msgId: string, createTime?: number, serverId?: string | number): Promise<{ success: boolean; data?: string; error?: string }> {
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try {
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const localId = parseInt(msgId, 10)
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if (isNaN(localId)) {
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return { success: false, error: '无效的消息ID' }
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}
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// 检查文件缓存
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const cacheKey = this.getVoiceCacheKey(sessionId, msgId)
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const cachedFile = this.getVoiceCacheFilePath(cacheKey)
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if (existsSync(cachedFile)) {
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try {
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const wavData = readFileSync(cachedFile)
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console.info('[ChatService][Voice] 使用缓存文件:', cachedFile)
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return { success: true, data: wavData.toString('base64') }
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} catch (e) {
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console.error('[ChatService][Voice] 读取缓存失败:', e)
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// 继续重新解密
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}
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}
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// 1. 确定 createTime 和 svrId
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let msgCreateTime = createTime
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let msgSvrId: string | number = serverId || 0
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// 如果提供了传来的参数，验证其有效性
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if (!msgCreateTime || msgCreateTime === 0) {
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const msgResult = await this.getMessageByLocalId(sessionId, localId)
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if (msgResult.success && msgResult.message) {
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const msg = msgResult.message as any
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msgCreateTime = msg.createTime || msg.create_time
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// 尝试获取各种可能的 server id 列名 (只有在没有传入 serverId 时才查找)
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if (!msgSvrId || msgSvrId === 0) {
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msgSvrId = msg.serverId || msg.svr_id || msg.msg_svr_id || msg.message_id || 0
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}
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}
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}
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if (!msgCreateTime) {
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return { success: false, error: '未找到消息时间戳' }
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}
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// 2. 构建查找候选 (sessionId, myWxid)
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const candidates: string[] = []
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if (sessionId) candidates.push(sessionId)
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const myWxid = this.configService.get('myWxid') as string
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if (myWxid && !candidates.includes(myWxid)) {
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candidates.push(myWxid)
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}
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// 3. 调用 C++ 接口获取语音 (Hex)
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const voiceRes = await wcdbService.getVoiceData(sessionId, msgCreateTime, candidates, msgSvrId)
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if (!voiceRes.success || !voiceRes.hex) {
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return { success: false, error: voiceRes.error || '未找到语音数据' }
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}
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// 4. Hex 转 Buffer (Silk)
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const silkData = Buffer.from(voiceRes.hex, 'hex')
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// 5. 使用 silk-wasm 解码
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try {
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const pcmData = await this.decodeSilkToPcm(silkData, 24000)
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if (!pcmData) {
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return { success: false, error: 'Silk 解码失败' }
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}
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// PCM -> WAV
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const wavData = this.createWavBuffer(pcmData, 24000)
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// 保存到文件缓存
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try {
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this.saveVoiceCache(cacheKey, wavData)
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console.info('[ChatService][Voice] 已保存缓存:', cachedFile)
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} catch (e) {
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console.error('[ChatService][Voice] 保存缓存失败:', e)
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// 不影响返回
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}
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// 缓存 WAV 数据 (内存缓存)
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this.cacheVoiceWav(cacheKey, wavData)
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return { success: true, data: wavData.toString('base64') }
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} catch (e) {
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console.error('[ChatService][Voice] decoding error:', e)
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return { success: false, error: '语音解码失败: ' + String(e) }
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}
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} catch (e) {
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console.error('ChatService: getVoiceData 失败:', e)
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return { success: false, error: String(e) }
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}
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}
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async getVoiceData_Legacy(sessionId: string, msgId: string): Promise<{ success: boolean; data?: string; error?: string }> {
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try {
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const localId = parseInt(msgId, 10)
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const msgResult = await this.getMessageByLocalId(sessionId, localId)
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@@ -2187,12 +2283,10 @@ class ChatService {
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for (const dbPath of (mediaDbs.data || [])) {
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const voiceTable = await this.resolveVoiceInfoTableName(dbPath)
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if (!voiceTable) {
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console.warn('[ChatService][Voice] voice table not found', dbPath)
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continue
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}
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const columns = await this.resolveVoiceInfoColumns(dbPath, voiceTable)
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if (!columns) {
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console.warn('[ChatService][Voice] voice columns not found', { dbPath, voiceTable })
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continue
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}
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for (const candidate of candidates) {
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@@ -2233,52 +2327,44 @@ class ChatService {
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}
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}
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if (silkData) break
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// 策略 3: 只使用 CreateTime (兜底)
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if (!silkData && columns.createTimeColumn) {
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const whereClause = `${columns.createTimeColumn} = ${msg.createTime}`
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const sql = `SELECT ${columns.dataColumn} AS data FROM ${voiceTable} WHERE ${whereClause} LIMIT 1`
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const result = await wcdbService.execQuery('media', dbPath, sql)
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if (result.success && result.rows && result.rows.length > 0) {
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const raw = result.rows[0]?.data
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const decoded = this.decodeVoiceBlob(raw)
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if (decoded && decoded.length > 0) {
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console.info('[ChatService][Voice] hit by createTime only', { dbPath, voiceTable, whereClause, bytes: decoded.length })
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silkData = decoded
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}
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}
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}
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if (silkData) break
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}
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if (!silkData) return { success: false, error: '未找到语音数据' }
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// 4. 解码 Silk -> PCM -> WAV
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const resourcesPath = app.isPackaged
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? join(process.resourcesPath, 'resources')
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: join(app.getAppPath(), 'resources')
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const decoderPath = join(resourcesPath, 'silk_v3_decoder.exe')
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if (!existsSync(decoderPath)) {
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return { success: false, error: '找不到语音解码器 (silk_v3_decoder.exe)' }
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}
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console.info('[ChatService][Voice] decoder path', decoderPath)
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const tempDir = app.getPath('temp')
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const silkFile = join(tempDir, `voice_${msgId}.silk`)
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const pcmFile = join(tempDir, `voice_${msgId}.pcm`)
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// 4. 使用 silk-wasm 解码
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try {
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writeFileSync(silkFile, silkData)
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// 执行解码: silk_v3_decoder.exe <silk> <pcm> -Fs_API 24000
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console.info('[ChatService][Voice] executing decoder:', decoderPath, [silkFile, pcmFile])
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const { stdout, stderr } = await execFileAsync(
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decoderPath,
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[silkFile, pcmFile, '-Fs_API', '24000'],
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{ cwd: dirname(decoderPath) }
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)
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if (stdout && stdout.trim()) console.info('[ChatService][Voice] decoder stdout:', stdout)
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if (stderr && stderr.trim()) console.warn('[ChatService][Voice] decoder stderr:', stderr)
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if (!existsSync(pcmFile)) {
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return { success: false, error: '语音解码失败' }
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const pcmData = await this.decodeSilkToPcm(silkData, 24000)
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if (!pcmData) {
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return { success: false, error: 'Silk 解码失败' }
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}
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const pcmData = readFileSync(pcmFile)
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const wavHeader = this.createWavHeader(pcmData.length, 24000, 1) // 微信语音通常 24kHz
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const wavData = Buffer.concat([wavHeader, pcmData])
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// PCM -> WAV
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const wavData = this.createWavBuffer(pcmData, 24000)
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// 缓存 WAV 数据 (内存缓存)
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const cacheKey = this.getVoiceCacheKey(sessionId, msgId)
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this.cacheVoiceWav(cacheKey, wavData)
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return { success: true, data: wavData.toString('base64') }
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} finally {
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// 清理临时文件
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try { if (existsSync(silkFile)) unlinkSync(silkFile) } catch { }
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try { if (existsSync(pcmFile)) unlinkSync(pcmFile) } catch { }
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} catch (e) {
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console.error('[ChatService][Voice] decoding error:', e)
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return { success: false, error: '语音解码失败: ' + String(e) }
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}
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} catch (e) {
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console.error('ChatService: getVoiceData 失败:', e)
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@@ -2286,7 +2372,69 @@ class ChatService {
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}
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}
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async getVoiceTranscript(sessionId: string, msgId: string): Promise<{ success: boolean; transcript?: string; error?: string }> {
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/**
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* 解码 Silk 数据为 PCM (silk-wasm)
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*/
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private async decodeSilkToPcm(silkData: Buffer, sampleRate: number): Promise<Buffer | null> {
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try {
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let wasmPath: string
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if (app.isPackaged) {
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wasmPath = join(process.resourcesPath, 'app.asar.unpacked', 'node_modules', 'silk-wasm', 'lib', 'silk.wasm')
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if (!existsSync(wasmPath)) {
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wasmPath = join(process.resourcesPath, 'node_modules', 'silk-wasm', 'lib', 'silk.wasm')
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}
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} else {
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wasmPath = join(app.getAppPath(), 'node_modules', 'silk-wasm', 'lib', 'silk.wasm')
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}
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if (!existsSync(wasmPath)) {
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console.error('[ChatService][Voice] silk.wasm not found at:', wasmPath)
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return null
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}
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const silkWasm = require('silk-wasm')
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if (!silkWasm || !silkWasm.decode) {
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console.error('[ChatService][Voice] silk-wasm module invalid')
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return null
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}
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const result = await silkWasm.decode(silkData, sampleRate)
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return Buffer.from(result.data)
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} catch (e) {
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console.error('[ChatService][Voice] internal decode error:', e)
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return null
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}
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}
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/**
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* 创建 WAV 文件 Buffer
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*/
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private createWavBuffer(pcmData: Buffer, sampleRate: number = 24000, channels: number = 1): Buffer {
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const pcmLength = pcmData.length
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const header = Buffer.alloc(44)
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header.write('RIFF', 0)
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header.writeUInt32LE(36 + pcmLength, 4)
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header.write('WAVE', 8)
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header.write('fmt ', 12)
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header.writeUInt32LE(16, 16)
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header.writeUInt16LE(1, 20)
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header.writeUInt16LE(channels, 22)
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header.writeUInt32LE(sampleRate, 24)
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header.writeUInt32LE(sampleRate * channels * 2, 28)
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header.writeUInt16LE(channels * 2, 32)
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header.writeUInt16LE(16, 34)
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header.write('data', 36)
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header.writeUInt32LE(pcmLength, 40)
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return Buffer.concat([header, pcmData])
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}
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async getVoiceTranscript(
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sessionId: string,
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msgId: string,
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onPartial?: (text: string) => void
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): Promise<{ success: boolean; transcript?: string; error?: string }> {
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const cacheKey = this.getVoiceCacheKey(sessionId, msgId)
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const cached = this.voiceTranscriptCache.get(cacheKey)
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if (cached) {
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@@ -2302,14 +2450,25 @@ class ChatService {
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try {
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let wavData = this.voiceWavCache.get(cacheKey)
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if (!wavData) {
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const voiceResult = await this.getVoiceData(sessionId, msgId)
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// 获取消息详情以拿到 createTime 和 serverId
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let cTime: number | undefined
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let sId: string | number | undefined
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const msgResult = await this.getMessageById(sessionId, parseInt(msgId, 10))
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if (msgResult.success && msgResult.message) {
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cTime = msgResult.message.createTime
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sId = msgResult.message.serverId
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}
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const voiceResult = await this.getVoiceData(sessionId, msgId, cTime, sId)
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if (!voiceResult.success || !voiceResult.data) {
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return { success: false, error: voiceResult.error || '语音解码失败' }
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}
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wavData = Buffer.from(voiceResult.data, 'base64')
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}
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const result = await voiceTranscribeService.transcribeWavBuffer(wavData)
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const result = await voiceTranscribeService.transcribeWavBuffer(wavData, (text) => {
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onPartial?.(text)
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})
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if (result.success && result.transcript) {
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this.cacheVoiceTranscript(cacheKey, result.transcript)
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}
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@@ -2325,26 +2484,10 @@ class ChatService {
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return task
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}
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private createWavHeader(pcmLength: number, sampleRate: number = 24000, channels: number = 1): Buffer {
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const header = Buffer.alloc(44)
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header.write('RIFF', 0)
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header.writeUInt32LE(36 + pcmLength, 4)
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header.write('WAVE', 8)
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header.write('fmt ', 12)
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header.writeUInt32LE(16, 16)
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header.writeUInt16LE(1, 20)
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header.writeUInt16LE(channels, 22)
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header.writeUInt32LE(sampleRate, 24)
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header.writeUInt32LE(sampleRate * channels * 2, 28)
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header.writeUInt16LE(channels * 2, 32)
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header.writeUInt16LE(16, 34)
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header.write('data', 36)
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header.writeUInt32LE(pcmLength, 40)
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return header
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}
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private getVoiceCacheKey(sessionId: string, msgId: string): string {
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return `${sessionId}:${msgId}`
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return `${sessionId}_${msgId}`
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}
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|
||||
private cacheVoiceWav(cacheKey: string, wavData: Buffer): void {
|
||||
@@ -2355,6 +2498,32 @@ class ChatService {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取语音缓存文件路径
|
||||
*/
|
||||
private getVoiceCacheFilePath(cacheKey: string): string {
|
||||
const cachePath = this.configService.get('cachePath') as string | undefined
|
||||
let baseDir: string
|
||||
if (cachePath && cachePath.trim()) {
|
||||
baseDir = join(cachePath, 'Voices')
|
||||
} else {
|
||||
const documentsPath = app.getPath('documents')
|
||||
baseDir = join(documentsPath, 'WeFlow', 'Voices')
|
||||
}
|
||||
if (!existsSync(baseDir)) {
|
||||
mkdirSync(baseDir, { recursive: true })
|
||||
}
|
||||
return join(baseDir, `${cacheKey}.wav`)
|
||||
}
|
||||
|
||||
/**
|
||||
* 保存语音到文件缓存
|
||||
*/
|
||||
private saveVoiceCache(cacheKey: string, wavData: Buffer): void {
|
||||
const filePath = this.getVoiceCacheFilePath(cacheKey)
|
||||
writeFileSync(filePath, wavData)
|
||||
}
|
||||
|
||||
private cacheVoiceTranscript(cacheKey: string, transcript: string): void {
|
||||
this.voiceTranscriptCache.set(cacheKey, transcript)
|
||||
if (this.voiceTranscriptCache.size > this.voiceCacheMaxEntries) {
|
||||
|
||||
@@ -15,7 +15,7 @@ export class ContactCacheService {
|
||||
constructor(cacheBasePath?: string) {
|
||||
const basePath = cacheBasePath && cacheBasePath.trim().length > 0
|
||||
? cacheBasePath
|
||||
: join(app.getPath('userData'), 'WeFlowCache')
|
||||
: join(app.getPath('documents'), 'WeFlow')
|
||||
this.cacheFilePath = join(basePath, 'contacts.json')
|
||||
this.ensureCacheDir()
|
||||
this.loadCache()
|
||||
|
||||
@@ -70,6 +70,7 @@ export interface ExportOptions {
|
||||
exportImages?: boolean
|
||||
exportVoices?: boolean
|
||||
exportEmojis?: boolean
|
||||
exportVoiceAsText?: boolean
|
||||
}
|
||||
|
||||
interface MediaExportItem {
|
||||
@@ -227,6 +228,7 @@ class ExportService {
|
||||
|
||||
/**
|
||||
* 解析消息内容为可读文本
|
||||
* 注意：语音消息在这里返回占位符，实际转文字在导出时异步处理
|
||||
*/
|
||||
private parseMessageContent(content: string, localType: number): string | null {
|
||||
if (!content) return null
|
||||
@@ -235,7 +237,7 @@ class ExportService {
|
||||
case 1:
|
||||
return this.stripSenderPrefix(content)
|
||||
case 3: return '[图片]'
|
||||
case 34: return '[语音消息]'
|
||||
case 34: return '[语音消息]' // 占位符，导出时会替换为转文字结果
|
||||
case 42: return '[名片]'
|
||||
case 43: return '[视频]'
|
||||
case 47: return '[动画表情]'
|
||||
@@ -246,6 +248,7 @@ class ExportService {
|
||||
}
|
||||
case 50: return this.parseVoipMessage(content)
|
||||
case 10000: return this.cleanSystemMessage(content)
|
||||
case 266287972401: return this.cleanSystemMessage(content) // 拍一拍
|
||||
default:
|
||||
if (content.includes('<type>57</type>')) {
|
||||
const title = this.extractXmlValue(content, 'title')
|
||||
@@ -270,20 +273,20 @@ class ExportService {
|
||||
|
||||
private cleanSystemMessage(content: string): string {
|
||||
if (!content) return '[系统消息]'
|
||||
|
||||
|
||||
// 先尝试提取特定的系统消息内容
|
||||
// 1. 提取 sysmsg 中的文本内容
|
||||
const sysmsgTextMatch = /<sysmsg[^>]*>([\s\S]*?)<\/sysmsg>/i.exec(content)
|
||||
if (sysmsgTextMatch) {
|
||||
content = sysmsgTextMatch[1]
|
||||
}
|
||||
|
||||
|
||||
// 2. 提取 revokemsg 撤回消息
|
||||
const revokeMatch = /<replacemsg><!\[CDATA\[(.*?)\]\]><\/replacemsg>/i.exec(content)
|
||||
if (revokeMatch) {
|
||||
return revokeMatch[1].trim()
|
||||
}
|
||||
|
||||
|
||||
// 3. 提取 pat 拍一拍消息
|
||||
const patMatch = /<template><!\[CDATA\[(.*?)\]\]><\/template>/i.exec(content)
|
||||
if (patMatch) {
|
||||
@@ -296,10 +299,10 @@ class ExportService {
|
||||
.replace(/<[^>]+>/g, '')
|
||||
.trim()
|
||||
}
|
||||
|
||||
|
||||
// 4. 处理 CDATA 内容
|
||||
content = content.replace(/<!\[CDATA\[/g, '').replace(/\]\]>/g, '')
|
||||
|
||||
|
||||
// 5. 移除所有 XML 标签
|
||||
return content
|
||||
.replace(/<img[^>]*>/gi, '')
|
||||
@@ -406,10 +409,10 @@ class ExportService {
|
||||
msg: any,
|
||||
sessionId: string,
|
||||
mediaDir: string,
|
||||
options: { exportImages?: boolean; exportVoices?: boolean; exportEmojis?: boolean }
|
||||
options: { exportImages?: boolean; exportVoices?: boolean; exportEmojis?: boolean; exportVoiceAsText?: boolean }
|
||||
): Promise<MediaExportItem | null> {
|
||||
const localType = msg.localType
|
||||
|
||||
|
||||
// 图片消息
|
||||
if (localType === 3 && options.exportImages) {
|
||||
const result = await this.exportImage(msg, sessionId, mediaDir)
|
||||
@@ -418,12 +421,19 @@ class ExportService {
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
|
||||
// 语音消息
|
||||
if (localType === 34 && options.exportVoices) {
|
||||
return this.exportVoice(msg, sessionId, mediaDir)
|
||||
if (localType === 34) {
|
||||
// 如果开启了语音转文字，优先转文字（不导出语音文件）
|
||||
if (options.exportVoiceAsText) {
|
||||
return null // 转文字逻辑在消息内容处理中完成
|
||||
}
|
||||
// 否则导出语音文件
|
||||
if (options.exportVoices) {
|
||||
return this.exportVoice(msg, sessionId, mediaDir)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// 动画表情
|
||||
if (localType === 47 && options.exportEmojis) {
|
||||
const result = await this.exportEmoji(msg, sessionId, mediaDir)
|
||||
@@ -432,7 +442,7 @@ class ExportService {
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
|
||||
return null
|
||||
}
|
||||
|
||||
@@ -449,7 +459,7 @@ class ExportService {
|
||||
// 使用消息对象中已提取的字段
|
||||
const imageMd5 = msg.imageMd5
|
||||
const imageDatName = msg.imageDatName
|
||||
|
||||
|
||||
if (!imageMd5 && !imageDatName) {
|
||||
console.log('[ExportService] 图片消息缺少 md5 和 datName:', msg.localId)
|
||||
return null
|
||||
@@ -485,9 +495,9 @@ class ExportService {
|
||||
const ext = this.getExtFromDataUrl(sourcePath)
|
||||
const fileName = `${imageMd5 || imageDatName || msg.localId}${ext}`
|
||||
const destPath = path.join(imagesDir, fileName)
|
||||
|
||||
|
||||
fs.writeFileSync(destPath, Buffer.from(base64Data, 'base64'))
|
||||
|
||||
|
||||
return {
|
||||
relativePath: `media/images/${fileName}`,
|
||||
kind: 'image'
|
||||
@@ -501,11 +511,11 @@ class ExportService {
|
||||
const ext = path.extname(sourcePath) || '.jpg'
|
||||
const fileName = `${imageMd5 || imageDatName || msg.localId}${ext}`
|
||||
const destPath = path.join(imagesDir, fileName)
|
||||
|
||||
|
||||
if (!fs.existsSync(destPath)) {
|
||||
fs.copyFileSync(sourcePath, destPath)
|
||||
}
|
||||
|
||||
|
||||
return {
|
||||
relativePath: `media/images/${fileName}`,
|
||||
kind: 'image'
|
||||
@@ -566,6 +576,22 @@ class ExportService {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 转写语音为文字
|
||||
*/
|
||||
private async transcribeVoice(sessionId: string, msgId: string): Promise<string> {
|
||||
try {
|
||||
const transcript = await chatService.getVoiceTranscript(sessionId, msgId)
|
||||
if (transcript.success && transcript.transcript) {
|
||||
return `[语音转文字] ${transcript.transcript}`
|
||||
}
|
||||
return '[语音消息 - 转文字失败]'
|
||||
} catch (e) {
|
||||
console.error('[ExportService] 语音转文字失败:', e)
|
||||
return '[语音消息 - 转文字失败]'
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 导出表情文件
|
||||
*/
|
||||
@@ -579,7 +605,7 @@ class ExportService {
|
||||
// 使用消息对象中已提取的字段
|
||||
const emojiUrl = msg.emojiCdnUrl
|
||||
const emojiMd5 = msg.emojiMd5
|
||||
|
||||
|
||||
if (!emojiUrl && !emojiMd5) {
|
||||
console.log('[ExportService] 表情消息缺少 url 和 md5, localId:', msg.localId, 'content:', msg.content?.substring(0, 200))
|
||||
return null
|
||||
@@ -669,7 +695,7 @@ class ExportService {
|
||||
if (url.includes('%')) {
|
||||
url = decodeURIComponent(url)
|
||||
}
|
||||
} catch {}
|
||||
} catch { }
|
||||
return url
|
||||
}
|
||||
// 备用：尝试 XML 标签形式
|
||||
@@ -792,7 +818,7 @@ class ExportService {
|
||||
let imageDatName: string | undefined
|
||||
let emojiCdnUrl: string | undefined
|
||||
let emojiMd5: string | undefined
|
||||
|
||||
|
||||
if (localType === 3 && content) {
|
||||
// 图片消息
|
||||
imageMd5 = this.extractImageMd5(content)
|
||||
@@ -1057,6 +1083,31 @@ class ExportService {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 生成通用的导出元数据 (参考 ChatLab 格式)
|
||||
*/
|
||||
private getExportMeta(
|
||||
sessionId: string,
|
||||
sessionInfo: { displayName: string },
|
||||
isGroup: boolean,
|
||||
sessionAvatar?: string
|
||||
): { chatlab: ChatLabHeader; meta: ChatLabMeta } {
|
||||
return {
|
||||
chatlab: {
|
||||
version: '0.0.2',
|
||||
exportedAt: Math.floor(Date.now() / 1000),
|
||||
generator: 'WeFlow'
|
||||
},
|
||||
meta: {
|
||||
name: sessionInfo.displayName,
|
||||
platform: 'wechat',
|
||||
type: isGroup ? 'group' : 'private',
|
||||
...(isGroup && { groupId: sessionId }),
|
||||
...(sessionAvatar && { groupAvatar: sessionAvatar })
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 导出单个会话为 ChatLab 格式
|
||||
*/
|
||||
@@ -1097,21 +1148,29 @@ class ExportService {
|
||||
phase: 'exporting'
|
||||
})
|
||||
|
||||
const chatLabMessages: ChatLabMessage[] = allMessages.map((msg) => {
|
||||
const chatLabMessages: ChatLabMessage[] = []
|
||||
for (const msg of allMessages) {
|
||||
const memberInfo = collected.memberSet.get(msg.senderUsername)?.member || {
|
||||
platformId: msg.senderUsername,
|
||||
accountName: msg.senderUsername,
|
||||
groupNickname: undefined
|
||||
}
|
||||
return {
|
||||
|
||||
let content = this.parseMessageContent(msg.content, msg.localType)
|
||||
// 如果是语音消息且开启了转文字
|
||||
if (msg.localType === 34 && options.exportVoiceAsText) {
|
||||
content = await this.transcribeVoice(sessionId, String(msg.localId))
|
||||
}
|
||||
|
||||
chatLabMessages.push({
|
||||
sender: msg.senderUsername,
|
||||
accountName: memberInfo.accountName,
|
||||
groupNickname: memberInfo.groupNickname,
|
||||
timestamp: msg.createTime,
|
||||
type: this.convertMessageType(msg.localType, msg.content),
|
||||
content: this.parseMessageContent(msg.content, msg.localType)
|
||||
}
|
||||
})
|
||||
content: content
|
||||
})
|
||||
}
|
||||
|
||||
const avatarMap = options.exportAvatars
|
||||
? await this.exportAvatars(
|
||||
@@ -1131,19 +1190,11 @@ class ExportService {
|
||||
return avatar ? { ...info.member, avatar } : info.member
|
||||
})
|
||||
|
||||
const { chatlab, meta } = this.getExportMeta(sessionId, sessionInfo, isGroup, sessionAvatar)
|
||||
|
||||
const chatLabExport: ChatLabExport = {
|
||||
chatlab: {
|
||||
version: '0.0.1',
|
||||
exportedAt: Math.floor(Date.now() / 1000),
|
||||
generator: 'WeFlow'
|
||||
},
|
||||
meta: {
|
||||
name: sessionInfo.displayName,
|
||||
platform: 'wechat',
|
||||
type: isGroup ? 'group' : 'private',
|
||||
...(isGroup && { groupId: sessionId }),
|
||||
...(sessionAvatar && { groupAvatar: sessionAvatar })
|
||||
},
|
||||
chatlab,
|
||||
meta,
|
||||
members,
|
||||
messages: chatLabMessages
|
||||
}
|
||||
@@ -1245,7 +1296,11 @@ class ExportService {
|
||||
phase: 'writing'
|
||||
})
|
||||
|
||||
const detailedExport = {
|
||||
const { chatlab, meta } = this.getExportMeta(sessionId, sessionInfo, isGroup)
|
||||
|
||||
const detailedExport: any = {
|
||||
chatlab,
|
||||
meta,
|
||||
session: {
|
||||
wxid: sessionId,
|
||||
nickname: sessionInfo.displayName,
|
||||
@@ -1316,7 +1371,7 @@ class ExportService {
|
||||
|
||||
const sessionInfo = await this.getContactInfo(sessionId)
|
||||
const myInfo = await this.getContactInfo(cleanedMyWxid)
|
||||
|
||||
|
||||
// 获取会话的备注信息
|
||||
const sessionContact = await wcdbService.getContact(sessionId)
|
||||
const sessionRemark = sessionContact.success && sessionContact.contact?.remark ? sessionContact.contact.remark : ''
|
||||
@@ -1362,12 +1417,12 @@ class ExportService {
|
||||
worksheet.mergeCells(currentRow, 2, currentRow, 3)
|
||||
worksheet.getCell(currentRow, 2).value = sessionId
|
||||
worksheet.getCell(currentRow, 2).font = { name: 'Calibri', size: 11 }
|
||||
|
||||
|
||||
worksheet.getCell(currentRow, 4).value = '昵称'
|
||||
worksheet.getCell(currentRow, 4).font = { name: 'Calibri', bold: true, size: 11 }
|
||||
worksheet.getCell(currentRow, 5).value = sessionNickname
|
||||
worksheet.getCell(currentRow, 5).font = { name: 'Calibri', size: 11 }
|
||||
|
||||
|
||||
if (isGroup) {
|
||||
worksheet.getCell(currentRow, 6).value = '备注'
|
||||
worksheet.getCell(currentRow, 6).font = { name: 'Calibri', bold: true, size: 11 }
|
||||
@@ -1378,11 +1433,36 @@ class ExportService {
|
||||
worksheet.getRow(currentRow).height = 20
|
||||
currentRow++
|
||||
|
||||
// 第三行：导出元数据
|
||||
const { chatlab, meta: exportMeta } = this.getExportMeta(sessionId, sessionInfo, isGroup)
|
||||
worksheet.getCell(currentRow, 1).value = '导出工具'
|
||||
worksheet.getCell(currentRow, 1).font = { name: 'Calibri', bold: true, size: 11 }
|
||||
worksheet.getCell(currentRow, 2).value = chatlab.generator
|
||||
worksheet.getCell(currentRow, 2).font = { name: 'Calibri', size: 10 }
|
||||
|
||||
worksheet.getCell(currentRow, 3).value = '导出版本'
|
||||
worksheet.getCell(currentRow, 3).font = { name: 'Calibri', bold: true, size: 11 }
|
||||
worksheet.getCell(currentRow, 4).value = chatlab.version
|
||||
worksheet.getCell(currentRow, 4).font = { name: 'Calibri', size: 10 }
|
||||
|
||||
worksheet.getCell(currentRow, 5).value = '平台'
|
||||
worksheet.getCell(currentRow, 5).font = { name: 'Calibri', bold: true, size: 11 }
|
||||
worksheet.getCell(currentRow, 6).value = exportMeta.platform
|
||||
worksheet.getCell(currentRow, 6).font = { name: 'Calibri', size: 10 }
|
||||
|
||||
worksheet.getCell(currentRow, 7).value = '导出时间'
|
||||
worksheet.getCell(currentRow, 7).font = { name: 'Calibri', bold: true, size: 11 }
|
||||
worksheet.getCell(currentRow, 8).value = this.formatTimestamp(chatlab.exportedAt)
|
||||
worksheet.getCell(currentRow, 8).font = { name: 'Calibri', size: 10 }
|
||||
|
||||
worksheet.getRow(currentRow).height = 20
|
||||
currentRow++
|
||||
|
||||
// 表头行
|
||||
const headers = ['序号', '时间', '发送者昵称', '发送者微信ID', '发送者备注', '发送者身份', '消息类型', '内容']
|
||||
const headerRow = worksheet.getRow(currentRow)
|
||||
headerRow.height = 22
|
||||
|
||||
|
||||
headers.forEach((header, index) => {
|
||||
const cell = headerRow.getCell(index + 1)
|
||||
cell.value = header
|
||||
@@ -1408,17 +1488,17 @@ class ExportService {
|
||||
|
||||
// 填充数据
|
||||
const sortedMessages = collected.rows.sort((a, b) => a.createTime - b.createTime)
|
||||
|
||||
|
||||
// 媒体导出设置
|
||||
const exportMediaEnabled = options.exportImages || options.exportVoices || options.exportEmojis
|
||||
const sessionDir = path.dirname(outputPath) // 会话目录，用于媒体导出
|
||||
|
||||
|
||||
// 媒体导出缓存
|
||||
const mediaCache = new Map<string, MediaExportItem | null>()
|
||||
|
||||
|
||||
for (let i = 0; i < sortedMessages.length; i++) {
|
||||
const msg = sortedMessages[i]
|
||||
|
||||
|
||||
// 导出媒体文件
|
||||
let mediaItem: MediaExportItem | null = null
|
||||
if (exportMediaEnabled) {
|
||||
@@ -1429,18 +1509,19 @@ class ExportService {
|
||||
mediaItem = await this.exportMediaForMessage(msg, sessionId, sessionDir, {
|
||||
exportImages: options.exportImages,
|
||||
exportVoices: options.exportVoices,
|
||||
exportEmojis: options.exportEmojis
|
||||
exportEmojis: options.exportEmojis,
|
||||
exportVoiceAsText: options.exportVoiceAsText
|
||||
})
|
||||
mediaCache.set(mediaKey, mediaItem)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// 确定发送者信息
|
||||
let senderRole: string
|
||||
let senderWxid: string
|
||||
let senderNickname: string
|
||||
let senderRemark: string = ''
|
||||
|
||||
|
||||
if (msg.isSend) {
|
||||
// 我发送的消息
|
||||
senderRole = '我'
|
||||
@@ -1450,7 +1531,7 @@ class ExportService {
|
||||
} else if (isGroup && msg.senderUsername) {
|
||||
// 群消息
|
||||
senderWxid = msg.senderUsername
|
||||
|
||||
|
||||
// 用 getContact 获取联系人详情，分别取昵称和备注
|
||||
const contactDetail = await wcdbService.getContact(msg.senderUsername)
|
||||
if (contactDetail.success && contactDetail.contact) {
|
||||
@@ -1481,12 +1562,12 @@ class ExportService {
|
||||
|
||||
const row = worksheet.getRow(currentRow)
|
||||
row.height = 24
|
||||
|
||||
|
||||
// 确定内容：如果有媒体文件导出成功则显示相对路径，否则显示解析后的内容
|
||||
const contentValue = mediaItem
|
||||
? mediaItem.relativePath
|
||||
const contentValue = mediaItem
|
||||
? mediaItem.relativePath
|
||||
: (this.parseMessageContent(msg.content, msg.localType) || '')
|
||||
|
||||
|
||||
// 调试日志
|
||||
if (msg.localType === 3 || msg.localType === 47) {
|
||||
console.log('[ExportService] 媒体消息填充表格:', {
|
||||
@@ -1497,7 +1578,7 @@ class ExportService {
|
||||
contentValue: contentValue?.substring(0, 100)
|
||||
})
|
||||
}
|
||||
|
||||
|
||||
worksheet.getCell(currentRow, 1).value = i + 1
|
||||
worksheet.getCell(currentRow, 2).value = this.formatTimestamp(msg.createTime)
|
||||
worksheet.getCell(currentRow, 3).value = senderNickname
|
||||
@@ -1506,14 +1587,14 @@ class ExportService {
|
||||
worksheet.getCell(currentRow, 6).value = senderRole
|
||||
worksheet.getCell(currentRow, 7).value = this.getMessageTypeName(msg.localType)
|
||||
worksheet.getCell(currentRow, 8).value = contentValue
|
||||
|
||||
|
||||
// 设置每个单元格的样式
|
||||
for (let col = 1; col <= 8; col++) {
|
||||
const cell = worksheet.getCell(currentRow, col)
|
||||
cell.font = { name: 'Calibri', size: 11 }
|
||||
cell.alignment = { vertical: 'middle', wrapText: false }
|
||||
}
|
||||
|
||||
|
||||
currentRow++
|
||||
|
||||
// 每处理 100 条消息报告一次进度
|
||||
@@ -1548,14 +1629,14 @@ class ExportService {
|
||||
return { success: true }
|
||||
} catch (e) {
|
||||
console.error('ExportService: 导出 Excel 失败:', e)
|
||||
|
||||
|
||||
// 处理文件被占用的错误
|
||||
if (e instanceof Error) {
|
||||
if (e.message.includes('EBUSY') || e.message.includes('resource busy') || e.message.includes('locked')) {
|
||||
return { success: false, error: '文件已经打开，请关闭后再导出' }
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
return { success: false, error: String(e) }
|
||||
}
|
||||
}
|
||||
@@ -1594,13 +1675,13 @@ class ExportService {
|
||||
})
|
||||
|
||||
const safeName = sessionInfo.displayName.replace(/[<>:"/\\|?*]/g, '_')
|
||||
|
||||
|
||||
// 为每个会话创建单独的文件夹
|
||||
const sessionDir = path.join(outputDir, safeName)
|
||||
if (!fs.existsSync(sessionDir)) {
|
||||
fs.mkdirSync(sessionDir, { recursive: true })
|
||||
}
|
||||
|
||||
|
||||
let ext = '.json'
|
||||
if (options.format === 'chatlab-jsonl') ext = '.jsonl'
|
||||
else if (options.format === 'excel') ext = '.xlsx'
|
||||
|
||||
@@ -14,17 +14,17 @@ function getStaticFfmpegPath(): string | null {
|
||||
// 方法1: 直接 require ffmpeg-static
|
||||
// eslint-disable-next-line @typescript-eslint/no-var-requires
|
||||
const ffmpegStatic = require('ffmpeg-static')
|
||||
|
||||
|
||||
if (typeof ffmpegStatic === 'string' && existsSync(ffmpegStatic)) {
|
||||
return ffmpegStatic
|
||||
}
|
||||
|
||||
|
||||
// 方法2: 手动构建路径（开发环境）
|
||||
const devPath = join(process.cwd(), 'node_modules', 'ffmpeg-static', 'ffmpeg.exe')
|
||||
if (existsSync(devPath)) {
|
||||
return devPath
|
||||
}
|
||||
|
||||
|
||||
// 方法3: 打包后的路径
|
||||
if (app.isPackaged) {
|
||||
const resourcesPath = process.resourcesPath
|
||||
@@ -33,7 +33,7 @@ function getStaticFfmpegPath(): string | null {
|
||||
return packedPath
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
return null
|
||||
} catch {
|
||||
return null
|
||||
@@ -115,7 +115,6 @@ export class ImageDecryptService {
|
||||
for (const key of cacheKeys) {
|
||||
const cached = this.resolvedCache.get(key)
|
||||
if (cached && existsSync(cached) && this.isImageFile(cached)) {
|
||||
this.logInfo('缓存命中(从Map)', { key, path: cached, isThumb: this.isThumbnailPath(cached) })
|
||||
const dataUrl = this.fileToDataUrl(cached)
|
||||
const isThumb = this.isThumbnailPath(cached)
|
||||
const hasUpdate = isThumb ? (this.updateFlags.get(key) ?? false) : false
|
||||
@@ -135,7 +134,6 @@ export class ImageDecryptService {
|
||||
for (const key of cacheKeys) {
|
||||
const existing = this.findCachedOutput(key, false, payload.sessionId)
|
||||
if (existing) {
|
||||
this.logInfo('缓存命中(文件系统)', { key, path: existing, isThumb: this.isThumbnailPath(existing) })
|
||||
this.cacheResolvedPaths(key, payload.imageMd5, payload.imageDatName, existing)
|
||||
const dataUrl = this.fileToDataUrl(existing)
|
||||
const isThumb = this.isThumbnailPath(existing)
|
||||
@@ -277,12 +275,12 @@ export class ImageDecryptService {
|
||||
decrypted = wxgfResult.data
|
||||
|
||||
let ext = this.detectImageExtension(decrypted)
|
||||
|
||||
|
||||
// 如果是 wxgf 格式且没检测到扩展名
|
||||
if (wxgfResult.isWxgf && !ext) {
|
||||
ext = '.hevc'
|
||||
}
|
||||
|
||||
|
||||
const finalExt = ext || '.jpg'
|
||||
|
||||
const outputPath = this.getCacheOutputPathFromDat(datPath, finalExt, payload.sessionId)
|
||||
@@ -291,8 +289,8 @@ export class ImageDecryptService {
|
||||
|
||||
// 对于 hevc 格式，返回错误提示
|
||||
if (finalExt === '.hevc') {
|
||||
return {
|
||||
success: false,
|
||||
return {
|
||||
success: false,
|
||||
error: '此图片为微信新格式(wxgf)，需要安装 ffmpeg 才能显示',
|
||||
isThumb: this.isThumbnailPath(datPath)
|
||||
}
|
||||
@@ -1475,29 +1473,29 @@ export class ImageDecryptService {
|
||||
*/
|
||||
private async unwrapWxgf(buffer: Buffer): Promise<{ data: Buffer; isWxgf: boolean }> {
|
||||
// 检查是否是 wxgf 格式 (77 78 67 66 = "wxgf")
|
||||
if (buffer.length < 20 ||
|
||||
buffer[0] !== 0x77 || buffer[1] !== 0x78 ||
|
||||
buffer[2] !== 0x67 || buffer[3] !== 0x66) {
|
||||
if (buffer.length < 20 ||
|
||||
buffer[0] !== 0x77 || buffer[1] !== 0x78 ||
|
||||
buffer[2] !== 0x67 || buffer[3] !== 0x66) {
|
||||
return { data: buffer, isWxgf: false }
|
||||
}
|
||||
|
||||
|
||||
// 先尝试搜索内嵌的传统图片签名
|
||||
for (let i = 4; i < Math.min(buffer.length - 12, 4096); i++) {
|
||||
if (buffer[i] === 0xff && buffer[i + 1] === 0xd8 && buffer[i + 2] === 0xff) {
|
||||
return { data: buffer.subarray(i), isWxgf: false }
|
||||
}
|
||||
if (buffer[i] === 0x89 && buffer[i + 1] === 0x50 &&
|
||||
buffer[i + 2] === 0x4e && buffer[i + 3] === 0x47) {
|
||||
if (buffer[i] === 0x89 && buffer[i + 1] === 0x50 &&
|
||||
buffer[i + 2] === 0x4e && buffer[i + 3] === 0x47) {
|
||||
return { data: buffer.subarray(i), isWxgf: false }
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// 提取 HEVC NALU 裸流
|
||||
const hevcData = this.extractHevcNalu(buffer)
|
||||
if (!hevcData || hevcData.length < 100) {
|
||||
return { data: buffer, isWxgf: true }
|
||||
}
|
||||
|
||||
|
||||
// 尝试用 ffmpeg 转换
|
||||
try {
|
||||
const jpgData = await this.convertHevcToJpg(hevcData)
|
||||
@@ -1507,7 +1505,7 @@ export class ImageDecryptService {
|
||||
} catch {
|
||||
// ffmpeg 转换失败
|
||||
}
|
||||
|
||||
|
||||
return { data: hevcData, isWxgf: true }
|
||||
}
|
||||
|
||||
@@ -1517,23 +1515,23 @@ export class ImageDecryptService {
|
||||
private extractHevcNalu(buffer: Buffer): Buffer | null {
|
||||
const nalUnits: Buffer[] = []
|
||||
let i = 4
|
||||
|
||||
|
||||
while (i < buffer.length - 4) {
|
||||
if (buffer[i] === 0x00 && buffer[i + 1] === 0x00 &&
|
||||
buffer[i + 2] === 0x00 && buffer[i + 3] === 0x01) {
|
||||
if (buffer[i] === 0x00 && buffer[i + 1] === 0x00 &&
|
||||
buffer[i + 2] === 0x00 && buffer[i + 3] === 0x01) {
|
||||
let nalStart = i
|
||||
let nalEnd = buffer.length
|
||||
|
||||
|
||||
for (let j = i + 4; j < buffer.length - 3; j++) {
|
||||
if (buffer[j] === 0x00 && buffer[j + 1] === 0x00) {
|
||||
if (buffer[j + 2] === 0x01 ||
|
||||
(buffer[j + 2] === 0x00 && j + 3 < buffer.length && buffer[j + 3] === 0x01)) {
|
||||
if (buffer[j + 2] === 0x01 ||
|
||||
(buffer[j + 2] === 0x00 && j + 3 < buffer.length && buffer[j + 3] === 0x01)) {
|
||||
nalEnd = j
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
const nalUnit = buffer.subarray(nalStart, nalEnd)
|
||||
if (nalUnit.length > 3) {
|
||||
nalUnits.push(nalUnit)
|
||||
@@ -1543,17 +1541,17 @@ export class ImageDecryptService {
|
||||
i++
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
if (nalUnits.length === 0) {
|
||||
for (let j = 4; j < buffer.length - 4; j++) {
|
||||
if (buffer[j] === 0x00 && buffer[j + 1] === 0x00 &&
|
||||
buffer[j + 2] === 0x00 && buffer[j + 3] === 0x01) {
|
||||
if (buffer[j] === 0x00 && buffer[j + 1] === 0x00 &&
|
||||
buffer[j + 2] === 0x00 && buffer[j + 3] === 0x01) {
|
||||
return buffer.subarray(j)
|
||||
}
|
||||
}
|
||||
return null
|
||||
}
|
||||
|
||||
|
||||
return Buffer.concat(nalUnits)
|
||||
}
|
||||
|
||||
@@ -1563,11 +1561,11 @@ export class ImageDecryptService {
|
||||
private getFfmpegPath(): string {
|
||||
const staticPath = getStaticFfmpegPath()
|
||||
this.logInfo('ffmpeg 路径检测', { staticPath, exists: staticPath ? existsSync(staticPath) : false })
|
||||
|
||||
|
||||
if (staticPath) {
|
||||
return staticPath
|
||||
}
|
||||
|
||||
|
||||
// 回退到系统 ffmpeg
|
||||
return 'ffmpeg'
|
||||
}
|
||||
@@ -1578,12 +1576,12 @@ export class ImageDecryptService {
|
||||
private convertHevcToJpg(hevcData: Buffer): Promise<Buffer | null> {
|
||||
const ffmpeg = this.getFfmpegPath()
|
||||
this.logInfo('ffmpeg 转换开始', { ffmpegPath: ffmpeg, hevcSize: hevcData.length })
|
||||
|
||||
|
||||
return new Promise((resolve) => {
|
||||
const { spawn } = require('child_process')
|
||||
const chunks: Buffer[] = []
|
||||
const errChunks: Buffer[] = []
|
||||
|
||||
|
||||
const proc = spawn(ffmpeg, [
|
||||
'-hide_banner',
|
||||
'-loglevel', 'error',
|
||||
@@ -1593,14 +1591,14 @@ export class ImageDecryptService {
|
||||
'-q:v', '3',
|
||||
'-f', 'mjpeg',
|
||||
'pipe:1'
|
||||
], {
|
||||
], {
|
||||
stdio: ['pipe', 'pipe', 'pipe'],
|
||||
windowsHide: true
|
||||
})
|
||||
|
||||
|
||||
proc.stdout.on('data', (chunk: Buffer) => chunks.push(chunk))
|
||||
proc.stderr.on('data', (chunk: Buffer) => errChunks.push(chunk))
|
||||
|
||||
|
||||
proc.on('close', (code: number) => {
|
||||
if (code === 0 && chunks.length > 0) {
|
||||
this.logInfo('ffmpeg 转换成功', { outputSize: Buffer.concat(chunks).length })
|
||||
@@ -1611,12 +1609,12 @@ export class ImageDecryptService {
|
||||
resolve(null)
|
||||
}
|
||||
})
|
||||
|
||||
|
||||
proc.on('error', (err: Error) => {
|
||||
this.logInfo('ffmpeg 进程错误', { error: err.message })
|
||||
resolve(null)
|
||||
})
|
||||
|
||||
|
||||
proc.stdin.write(hevcData)
|
||||
proc.stdin.end()
|
||||
})
|
||||
|
||||
@@ -15,7 +15,7 @@ export class MessageCacheService {
|
||||
constructor(cacheBasePath?: string) {
|
||||
const basePath = cacheBasePath && cacheBasePath.trim().length > 0
|
||||
? cacheBasePath
|
||||
: join(app.getPath('userData'), 'WeFlowCache')
|
||||
: join(app.getPath('documents'), 'WeFlow')
|
||||
this.cacheFilePath = join(basePath, 'session-messages.json')
|
||||
this.ensureCacheDir()
|
||||
this.loadCache()
|
||||
|
||||
@@ -1,19 +1,23 @@
|
||||
import { app } from 'electron'
|
||||
import { createWriteStream, existsSync, mkdirSync, statSync, unlinkSync, writeFileSync } from 'fs'
|
||||
import { join, dirname } from 'path'
|
||||
import { promisify } from 'util'
|
||||
import { execFile, spawnSync } from 'child_process'
|
||||
import { existsSync, mkdirSync, statSync, unlinkSync, createWriteStream } from 'fs'
|
||||
import { join } from 'path'
|
||||
import * as https from 'https'
|
||||
import * as http from 'http'
|
||||
import { ConfigService } from './config'
|
||||
|
||||
const execFileAsync = promisify(execFile)
|
||||
// Sherpa-onnx 类型定义
|
||||
type OfflineRecognizer = any
|
||||
type OfflineStream = any
|
||||
|
||||
type WhisperModelInfo = {
|
||||
type ModelInfo = {
|
||||
name: string
|
||||
fileName: string
|
||||
files: {
|
||||
model: string
|
||||
tokens: string
|
||||
vad: string
|
||||
}
|
||||
sizeBytes: number
|
||||
sizeLabel: string
|
||||
sizeBytes?: number
|
||||
}
|
||||
|
||||
type DownloadProgress = {
|
||||
@@ -23,122 +27,169 @@ type DownloadProgress = {
|
||||
percent?: number
|
||||
}
|
||||
|
||||
const WHISPER_MODELS: Record<string, WhisperModelInfo> = {
|
||||
tiny: { name: 'tiny', fileName: 'ggml-tiny.bin', sizeLabel: '75 MB', sizeBytes: 75_000_000 },
|
||||
base: { name: 'base', fileName: 'ggml-base.bin', sizeLabel: '142 MB', sizeBytes: 142_000_000 },
|
||||
small: { name: 'small', fileName: 'ggml-small.bin', sizeLabel: '466 MB', sizeBytes: 466_000_000 },
|
||||
medium: { name: 'medium', fileName: 'ggml-medium.bin', sizeLabel: '1.5 GB', sizeBytes: 1_500_000_000 },
|
||||
'large-v3': { name: 'large-v3', fileName: 'ggml-large-v3.bin', sizeLabel: '2.9 GB', sizeBytes: 2_900_000_000 }
|
||||
const SENSEVOICE_MODEL: ModelInfo = {
|
||||
name: 'SenseVoiceSmall',
|
||||
files: {
|
||||
model: 'model.int8.onnx',
|
||||
tokens: 'tokens.txt',
|
||||
vad: 'silero_vad.onnx'
|
||||
},
|
||||
sizeBytes: 245_000_000,
|
||||
sizeLabel: '245 MB'
|
||||
}
|
||||
|
||||
const WHISPER_SOURCES: Record<string, string> = {
|
||||
official: 'https://huggingface.co/ggerganov/whisper.cpp/resolve/main',
|
||||
tsinghua: 'https://hf-mirror.com/ggerganov/whisper.cpp/resolve/main'
|
||||
}
|
||||
|
||||
function getStaticFfmpegPath(): string | null {
|
||||
try {
|
||||
// eslint-disable-next-line @typescript-eslint/no-var-requires
|
||||
const ffmpegStatic = require('ffmpeg-static')
|
||||
if (typeof ffmpegStatic === 'string' && existsSync(ffmpegStatic)) {
|
||||
return ffmpegStatic
|
||||
}
|
||||
const devPath = join(process.cwd(), 'node_modules', 'ffmpeg-static', 'ffmpeg.exe')
|
||||
if (existsSync(devPath)) {
|
||||
return devPath
|
||||
}
|
||||
if (app.isPackaged) {
|
||||
const resourcesPath = process.resourcesPath
|
||||
const packedPath = join(resourcesPath, 'app.asar.unpacked', 'node_modules', 'ffmpeg-static', 'ffmpeg.exe')
|
||||
if (existsSync(packedPath)) {
|
||||
return packedPath
|
||||
}
|
||||
}
|
||||
return null
|
||||
} catch {
|
||||
return null
|
||||
}
|
||||
const MODEL_DOWNLOAD_URLS = {
|
||||
model: 'https://modelscope.cn/models/pengzhendong/sherpa-onnx-sense-voice-zh-en-ja-ko-yue/resolve/master/model.int8.onnx',
|
||||
tokens: 'https://modelscope.cn/models/pengzhendong/sherpa-onnx-sense-voice-zh-en-ja-ko-yue/resolve/master/tokens.txt',
|
||||
vad: 'https://www.modelscope.cn/models/manyeyes/silero-vad-onnx/resolve/master/silero_vad.onnx'
|
||||
}
|
||||
|
||||
export class VoiceTranscribeService {
|
||||
private configService = new ConfigService()
|
||||
private downloadTasks = new Map<string, Promise<{ success: boolean; path?: string; error?: string }>>()
|
||||
private recognizer: OfflineRecognizer | null = null
|
||||
private isInitializing = false
|
||||
|
||||
private resolveModelInfo(modelName: string): WhisperModelInfo | null {
|
||||
return WHISPER_MODELS[modelName] || null
|
||||
}
|
||||
|
||||
private resolveModelDir(overrideDir?: string): string {
|
||||
const configured = overrideDir || this.configService.get('whisperModelDir')
|
||||
private resolveModelDir(): string {
|
||||
const configured = this.configService.get('whisperModelDir') as string | undefined
|
||||
if (configured) return configured
|
||||
return join(app.getPath('userData'), 'models', 'whisper')
|
||||
return join(app.getPath('documents'), 'WeFlow', 'models', 'sensevoice')
|
||||
}
|
||||
|
||||
private resolveModelPath(modelName: string, overrideDir?: string): string | null {
|
||||
const info = this.resolveModelInfo(modelName)
|
||||
if (!info) return null
|
||||
return join(this.resolveModelDir(overrideDir), info.fileName)
|
||||
private resolveModelPath(fileName: string): string {
|
||||
return join(this.resolveModelDir(), fileName)
|
||||
}
|
||||
|
||||
private resolveSourceUrl(overrideSource?: string): string {
|
||||
const configured = overrideSource || this.configService.get('whisperDownloadSource')
|
||||
if (configured && WHISPER_SOURCES[configured]) return WHISPER_SOURCES[configured]
|
||||
return WHISPER_SOURCES.official
|
||||
}
|
||||
|
||||
async getModelStatus(payload: { modelName: string; downloadDir?: string }): Promise<{
|
||||
/**
|
||||
* 检查模型状态
|
||||
*/
|
||||
async getModelStatus(): Promise<{
|
||||
success: boolean
|
||||
exists?: boolean
|
||||
path?: string
|
||||
modelPath?: string
|
||||
tokensPath?: string
|
||||
sizeBytes?: number
|
||||
error?: string
|
||||
}> {
|
||||
const modelPath = this.resolveModelPath(payload.modelName, payload.downloadDir)
|
||||
if (!modelPath) {
|
||||
return { success: false, error: '未知模型名称' }
|
||||
try {
|
||||
const modelPath = this.resolveModelPath(SENSEVOICE_MODEL.files.model)
|
||||
const tokensPath = this.resolveModelPath(SENSEVOICE_MODEL.files.tokens)
|
||||
const vadPath = this.resolveModelPath((SENSEVOICE_MODEL.files as any).vad)
|
||||
|
||||
const modelExists = existsSync(modelPath)
|
||||
const tokensExists = existsSync(tokensPath)
|
||||
const vadExists = existsSync(vadPath)
|
||||
const exists = modelExists && tokensExists && vadExists
|
||||
|
||||
if (!exists) {
|
||||
return { success: true, exists: false, modelPath, tokensPath }
|
||||
}
|
||||
|
||||
const modelSize = statSync(modelPath).size
|
||||
const tokensSize = statSync(tokensPath).size
|
||||
const vadSize = statSync(vadPath).size
|
||||
const totalSize = modelSize + tokensSize + vadSize
|
||||
|
||||
return {
|
||||
success: true,
|
||||
exists: true,
|
||||
modelPath,
|
||||
tokensPath,
|
||||
sizeBytes: totalSize
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('[VoiceTranscribe] getModelStatus error:', error)
|
||||
return { success: false, error: String(error) }
|
||||
}
|
||||
if (!existsSync(modelPath)) {
|
||||
return { success: true, exists: false, path: modelPath }
|
||||
}
|
||||
const sizeBytes = statSync(modelPath).size
|
||||
return { success: true, exists: true, path: modelPath, sizeBytes }
|
||||
}
|
||||
|
||||
/**
|
||||
* 下载模型文件
|
||||
*/
|
||||
async downloadModel(
|
||||
payload: { modelName: string; downloadDir?: string; source?: string },
|
||||
onProgress?: (progress: DownloadProgress) => void
|
||||
): Promise<{ success: boolean; path?: string; error?: string }> {
|
||||
const info = this.resolveModelInfo(payload.modelName)
|
||||
if (!info) {
|
||||
return { success: false, error: '未知模型名称' }
|
||||
}
|
||||
|
||||
const modelPath = this.resolveModelPath(payload.modelName, payload.downloadDir)
|
||||
if (!modelPath) {
|
||||
return { success: false, error: '模型路径生成失败' }
|
||||
}
|
||||
|
||||
if (existsSync(modelPath)) {
|
||||
return { success: true, path: modelPath }
|
||||
}
|
||||
|
||||
const cacheKey = `${payload.modelName}:${modelPath}`
|
||||
): Promise<{ success: boolean; modelPath?: string; tokensPath?: string; error?: string }> {
|
||||
const cacheKey = 'sensevoice'
|
||||
const pending = this.downloadTasks.get(cacheKey)
|
||||
if (pending) return pending
|
||||
|
||||
const task = (async () => {
|
||||
try {
|
||||
const targetDir = this.resolveModelDir(payload.downloadDir)
|
||||
if (!existsSync(targetDir)) {
|
||||
mkdirSync(targetDir, { recursive: true })
|
||||
const modelDir = this.resolveModelDir()
|
||||
if (!existsSync(modelDir)) {
|
||||
mkdirSync(modelDir, { recursive: true })
|
||||
}
|
||||
|
||||
const baseUrl = this.resolveSourceUrl(payload.source)
|
||||
const url = `${baseUrl}/${info.fileName}`
|
||||
await this.downloadToFile(url, modelPath, payload.modelName, onProgress)
|
||||
return { success: true, path: modelPath }
|
||||
const modelPath = this.resolveModelPath(SENSEVOICE_MODEL.files.model)
|
||||
const tokensPath = this.resolveModelPath(SENSEVOICE_MODEL.files.tokens)
|
||||
const vadPath = this.resolveModelPath((SENSEVOICE_MODEL.files as any).vad)
|
||||
|
||||
// 下载模型文件 (40%)
|
||||
console.info('[VoiceTranscribe] 开始下载模型文件...')
|
||||
await this.downloadToFile(
|
||||
MODEL_DOWNLOAD_URLS.model,
|
||||
modelPath,
|
||||
'model',
|
||||
(downloaded, total) => {
|
||||
const percent = total ? (downloaded / total) * 40 : undefined
|
||||
onProgress?.({
|
||||
modelName: SENSEVOICE_MODEL.name,
|
||||
downloadedBytes: downloaded,
|
||||
totalBytes: SENSEVOICE_MODEL.sizeBytes,
|
||||
percent
|
||||
})
|
||||
}
|
||||
)
|
||||
|
||||
// 下载 tokens 文件 (30%)
|
||||
console.info('[VoiceTranscribe] 开始下载 tokens 文件...')
|
||||
await this.downloadToFile(
|
||||
MODEL_DOWNLOAD_URLS.tokens,
|
||||
tokensPath,
|
||||
'tokens',
|
||||
(downloaded, total) => {
|
||||
const modelSize = existsSync(modelPath) ? statSync(modelPath).size : 0
|
||||
const percent = total ? 40 + (downloaded / total) * 30 : 40
|
||||
onProgress?.({
|
||||
modelName: SENSEVOICE_MODEL.name,
|
||||
downloadedBytes: modelSize + downloaded,
|
||||
totalBytes: SENSEVOICE_MODEL.sizeBytes,
|
||||
percent
|
||||
})
|
||||
}
|
||||
)
|
||||
|
||||
// 下载 vad 文件 (30%)
|
||||
console.info('[VoiceTranscribe] 开始下载 VAD 文件...')
|
||||
await this.downloadToFile(
|
||||
(MODEL_DOWNLOAD_URLS as any).vad,
|
||||
vadPath,
|
||||
'vad',
|
||||
(downloaded, total) => {
|
||||
const modelSize = existsSync(modelPath) ? statSync(modelPath).size : 0
|
||||
const tokensSize = existsSync(tokensPath) ? statSync(tokensPath).size : 0
|
||||
const percent = total ? 70 + (downloaded / total) * 30 : 70
|
||||
onProgress?.({
|
||||
modelName: SENSEVOICE_MODEL.name,
|
||||
downloadedBytes: modelSize + tokensSize + downloaded,
|
||||
totalBytes: SENSEVOICE_MODEL.sizeBytes,
|
||||
percent
|
||||
})
|
||||
}
|
||||
)
|
||||
|
||||
console.info('[VoiceTranscribe] 模型下载完成')
|
||||
return { success: true, modelPath, tokensPath }
|
||||
} catch (error) {
|
||||
try { if (existsSync(modelPath)) unlinkSync(modelPath) } catch { }
|
||||
console.error('[VoiceTranscribe] 下载失败:', error)
|
||||
const modelPath = this.resolveModelPath(SENSEVOICE_MODEL.files.model)
|
||||
const tokensPath = this.resolveModelPath(SENSEVOICE_MODEL.files.tokens)
|
||||
const vadPath = this.resolveModelPath((SENSEVOICE_MODEL.files as any).vad)
|
||||
try {
|
||||
if (existsSync(modelPath)) unlinkSync(modelPath)
|
||||
if (existsSync(tokensPath)) unlinkSync(tokensPath)
|
||||
if (existsSync(vadPath)) unlinkSync(vadPath)
|
||||
} catch { }
|
||||
return { success: false, error: String(error) }
|
||||
} finally {
|
||||
this.downloadTasks.delete(cacheKey)
|
||||
@@ -149,102 +200,108 @@ export class VoiceTranscribeService {
|
||||
return task
|
||||
}
|
||||
|
||||
async transcribeWavBuffer(wavData: Buffer): Promise<{ success: boolean; transcript?: string; error?: string }> {
|
||||
const modelName = this.configService.get('whisperModelName') || 'base'
|
||||
const modelPath = this.resolveModelPath(modelName)
|
||||
console.info('[VoiceTranscribe] check model', { modelName, modelPath, exists: modelPath ? existsSync(modelPath) : false })
|
||||
if (!modelPath || !existsSync(modelPath)) {
|
||||
return { success: false, error: '未下载语音模型，请在设置中下载' }
|
||||
}
|
||||
/**
|
||||
* 转写 WAV 音频数据 (后台 Worker Threads 版本)
|
||||
*/
|
||||
async transcribeWavBuffer(
|
||||
wavData: Buffer,
|
||||
onPartial?: (text: string) => void
|
||||
): Promise<{ success: boolean; transcript?: string; error?: string }> {
|
||||
return new Promise((resolve) => {
|
||||
try {
|
||||
const modelPath = this.resolveModelPath(SENSEVOICE_MODEL.files.model)
|
||||
const tokensPath = this.resolveModelPath(SENSEVOICE_MODEL.files.tokens)
|
||||
|
||||
// 使用内置的预编译 whisper-cli.exe
|
||||
const resourcesPath = app.isPackaged
|
||||
? join(process.resourcesPath, 'resources')
|
||||
: join(app.getAppPath(), 'resources')
|
||||
const whisperExe = join(resourcesPath, 'whisper-cli.exe')
|
||||
|
||||
if (!existsSync(whisperExe)) {
|
||||
return { success: false, error: '找不到语音转写程序，请重新安装应用' }
|
||||
}
|
||||
if (!existsSync(modelPath) || !existsSync(tokensPath)) {
|
||||
resolve({ success: false, error: '模型文件不存在，请先下载模型' })
|
||||
return
|
||||
}
|
||||
|
||||
const ffmpegPath = getStaticFfmpegPath() || 'ffmpeg'
|
||||
console.info('[VoiceTranscribe] ffmpeg path', ffmpegPath)
|
||||
const { Worker } = require('worker_threads')
|
||||
// main.js 和 transcribeWorker.js 同在 dist-electron 目录下
|
||||
const workerPath = join(__dirname, 'transcribeWorker.js')
|
||||
|
||||
const tempDir = app.getPath('temp')
|
||||
const fileToken = `${Date.now()}_${Math.random().toString(16).slice(2)}`
|
||||
const inputPath = join(tempDir, `weflow_voice_${fileToken}.wav`)
|
||||
const outputPath = join(tempDir, `weflow_voice_${fileToken}_16k.wav`)
|
||||
console.info('[VoiceTranscribe] 启动后台 Worker 转写...', { workerPath })
|
||||
|
||||
try {
|
||||
writeFileSync(inputPath, wavData)
|
||||
console.info('[VoiceTranscribe] converting to 16kHz', { inputPath, outputPath })
|
||||
await execFileAsync(ffmpegPath, ['-y', '-i', inputPath, '-ar', '16000', '-ac', '1', outputPath])
|
||||
|
||||
console.info('[VoiceTranscribe] transcribing with whisper', { whisperExe, modelPath })
|
||||
const { stdout, stderr } = await execFileAsync(whisperExe, [
|
||||
'-m', modelPath,
|
||||
'-f', outputPath,
|
||||
'-l', 'zh',
|
||||
'-otxt',
|
||||
'-np' // no prints (只输出结果)
|
||||
], {
|
||||
maxBuffer: 10 * 1024 * 1024,
|
||||
cwd: dirname(whisperExe), // 设置工作目录为 whisper-cli.exe 所在目录，确保能找到 DLL
|
||||
env: { ...process.env, PATH: `${dirname(whisperExe)};${process.env.PATH}` }
|
||||
})
|
||||
const worker = new Worker(workerPath, {
|
||||
workerData: {
|
||||
modelPath,
|
||||
tokensPath,
|
||||
wavData,
|
||||
sampleRate: 16000
|
||||
}
|
||||
})
|
||||
|
||||
console.info('[VoiceTranscribe] whisper stdout:', stdout)
|
||||
if (stderr) console.warn('[VoiceTranscribe] whisper stderr:', stderr)
|
||||
let finalTranscript = ''
|
||||
|
||||
// 解析输出文本
|
||||
const outputBase = outputPath.replace(/\.[^.]+$/, '')
|
||||
const txtFile = `${outputBase}.txt`
|
||||
let transcript = ''
|
||||
if (existsSync(txtFile)) {
|
||||
const { readFileSync } = await import('fs')
|
||||
transcript = readFileSync(txtFile, 'utf-8').trim()
|
||||
unlinkSync(txtFile)
|
||||
} else {
|
||||
// 从 stdout 提取（使用 -np 参数后，stdout 只有转写结果）
|
||||
transcript = stdout.trim()
|
||||
worker.on('message', (msg: any) => {
|
||||
if (msg.type === 'partial') {
|
||||
onPartial?.(msg.text)
|
||||
} else if (msg.type === 'final') {
|
||||
finalTranscript = msg.text
|
||||
resolve({ success: true, transcript: finalTranscript })
|
||||
worker.terminate()
|
||||
} else if (msg.type === 'error') {
|
||||
resolve({ success: false, error: msg.error })
|
||||
worker.terminate()
|
||||
}
|
||||
})
|
||||
|
||||
worker.on('error', (err: Error) => {
|
||||
console.error('[VoiceTranscribe] Worker error:', err)
|
||||
resolve({ success: false, error: String(err) })
|
||||
})
|
||||
|
||||
worker.on('exit', (code: number) => {
|
||||
if (code !== 0) {
|
||||
console.error(`[VoiceTranscribe] Worker stopped with exit code ${code}`)
|
||||
resolve({ success: false, error: `Worker exited with code ${code}` })
|
||||
}
|
||||
})
|
||||
|
||||
} catch (error) {
|
||||
console.error('[VoiceTranscribe] 启动 Worker 失败:', error)
|
||||
resolve({ success: false, error: String(error) })
|
||||
}
|
||||
|
||||
console.info('[VoiceTranscribe] success', { transcript })
|
||||
return { success: true, transcript }
|
||||
} catch (error: any) {
|
||||
console.error('[VoiceTranscribe] failed', error)
|
||||
console.error('[VoiceTranscribe] stderr:', error.stderr)
|
||||
console.error('[VoiceTranscribe] stdout:', error.stdout)
|
||||
return { success: false, error: String(error) }
|
||||
} finally {
|
||||
try { if (existsSync(inputPath)) unlinkSync(inputPath) } catch { }
|
||||
try { if (existsSync(outputPath)) unlinkSync(outputPath) } catch { }
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* 下载文件
|
||||
*/
|
||||
private downloadToFile(
|
||||
url: string,
|
||||
targetPath: string,
|
||||
modelName: string,
|
||||
onProgress?: (progress: DownloadProgress) => void,
|
||||
remainingRedirects = 3
|
||||
fileName: string,
|
||||
onProgress?: (downloaded: number, total?: number) => void,
|
||||
remainingRedirects = 5
|
||||
): Promise<void> {
|
||||
return new Promise((resolve, reject) => {
|
||||
const protocol = url.startsWith('https') ? https : http
|
||||
const request = protocol.get(url, (response) => {
|
||||
console.info(`[VoiceTranscribe] 下载 ${fileName}:`, url)
|
||||
|
||||
const options = {
|
||||
headers: {
|
||||
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
|
||||
}
|
||||
}
|
||||
|
||||
const request = protocol.get(url, options, (response) => {
|
||||
// 处理重定向
|
||||
if ([301, 302, 303, 307, 308].includes(response.statusCode || 0) && response.headers.location) {
|
||||
if (remainingRedirects <= 0) {
|
||||
reject(new Error('下载重定向次数过多'))
|
||||
reject(new Error('重定向次数过多'))
|
||||
return
|
||||
}
|
||||
this.downloadToFile(response.headers.location, targetPath, modelName, onProgress, remainingRedirects - 1)
|
||||
console.info(`[VoiceTranscribe] 重定向到:`, response.headers.location)
|
||||
this.downloadToFile(response.headers.location, targetPath, fileName, onProgress, remainingRedirects - 1)
|
||||
.then(resolve)
|
||||
.catch(reject)
|
||||
return
|
||||
}
|
||||
|
||||
if (response.statusCode !== 200) {
|
||||
reject(new Error(`下载失败: ${response.statusCode}`))
|
||||
reject(new Error(`下载失败: HTTP ${response.statusCode}`))
|
||||
return
|
||||
}
|
||||
|
||||
@@ -255,8 +312,7 @@ export class VoiceTranscribeService {
|
||||
|
||||
response.on('data', (chunk) => {
|
||||
downloadedBytes += chunk.length
|
||||
const percent = totalBytes ? (downloadedBytes / totalBytes) * 100 : undefined
|
||||
onProgress?.({ modelName, downloadedBytes, totalBytes, percent })
|
||||
onProgress?.(downloadedBytes, totalBytes)
|
||||
})
|
||||
|
||||
response.on('error', (error) => {
|
||||
@@ -271,15 +327,33 @@ export class VoiceTranscribeService {
|
||||
|
||||
writer.on('finish', () => {
|
||||
writer.close()
|
||||
console.info(`[VoiceTranscribe] ${fileName} 下载完成:`, targetPath)
|
||||
resolve()
|
||||
})
|
||||
|
||||
response.pipe(writer)
|
||||
})
|
||||
|
||||
request.on('error', reject)
|
||||
request.on('error', (error) => {
|
||||
console.error(`[VoiceTranscribe] ${fileName} 下载错误:`, error)
|
||||
reject(error)
|
||||
})
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* 清理资源
|
||||
*/
|
||||
dispose() {
|
||||
if (this.recognizer) {
|
||||
try {
|
||||
// sherpa-onnx 的 recognizer 可能需要手动释放
|
||||
this.recognizer = null
|
||||
} catch (error) {
|
||||
console.error('[VoiceTranscribe] 释放识别器失败:', error)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export const voiceTranscribeService = new VoiceTranscribeService()
|
||||
|
||||
@@ -48,6 +48,7 @@ export class WcdbCore {
|
||||
private wcdbGetMessageById: any = null
|
||||
private wcdbGetEmoticonCdnUrl: any = null
|
||||
private wcdbGetDbStatus: any = null
|
||||
private wcdbGetVoiceData: any = null
|
||||
private avatarUrlCache: Map<string, { url?: string; updatedAt: number }> = new Map()
|
||||
private readonly avatarCacheTtlMs = 10 * 60 * 1000
|
||||
private logTimer: NodeJS.Timeout | null = null
|
||||
@@ -108,12 +109,13 @@ export class WcdbCore {
|
||||
|
||||
private writeLog(message: string, force = false): void {
|
||||
if (!force && !this.isLogEnabled()) return
|
||||
const line = `[${new Date().toISOString()}] ${message}`
|
||||
console.log(`[WCDB] ${line}`)
|
||||
try {
|
||||
const base = this.userDataPath || process.env.WCDB_LOG_DIR || process.cwd()
|
||||
const dir = join(base, 'logs')
|
||||
if (!existsSync(dir)) mkdirSync(dir, { recursive: true })
|
||||
const line = `[${new Date().toISOString()}] ${message}\n`
|
||||
appendFileSync(join(dir, 'wcdb.log'), line, { encoding: 'utf8' })
|
||||
appendFileSync(join(dir, 'wcdb.log'), line + '\n', { encoding: 'utf8' })
|
||||
} catch { }
|
||||
}
|
||||
|
||||
@@ -345,6 +347,13 @@ export class WcdbCore {
|
||||
this.wcdbGetDbStatus = null
|
||||
}
|
||||
|
||||
// wcdb_status wcdb_get_voice_data(wcdb_handle handle, const char* session_id, int32_t create_time, const char* candidates_json, char** out_hex)
|
||||
try {
|
||||
this.wcdbGetVoiceData = this.lib.func('int32 wcdb_get_voice_data(int64 handle, const char* sessionId, int32 createTime, int64 svrId, const char* candidatesJson, _Out_ void** outHex)')
|
||||
} catch {
|
||||
this.wcdbGetVoiceData = null
|
||||
}
|
||||
|
||||
// 初始化
|
||||
const initResult = this.wcdbInit()
|
||||
if (initResult !== 0) {
|
||||
@@ -1295,9 +1304,7 @@ export class WcdbCore {
|
||||
} catch (e) {
|
||||
return { success: false, error: String(e) }
|
||||
}
|
||||
}
|
||||
|
||||
async getMessageById(sessionId: string, localId: number): Promise<{ success: boolean; message?: any; error?: string }> {
|
||||
} async getMessageById(sessionId: string, localId: number): Promise<{ success: boolean; message?: any; error?: string }> {
|
||||
if (!this.ensureReady()) return { success: false, error: 'WCDB 未连接' }
|
||||
try {
|
||||
const outPtr = [null as any]
|
||||
@@ -1313,5 +1320,21 @@ export class WcdbCore {
|
||||
return { success: false, error: String(e) }
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async getVoiceData(sessionId: string, createTime: number, candidates: string[], svrId: string | number = 0): Promise<{ success: boolean; hex?: string; error?: string }> {
|
||||
if (!this.ensureReady()) return { success: false, error: 'WCDB 未连接' }
|
||||
if (!this.wcdbGetVoiceData) return { success: false, error: '当前 DLL 版本不支持获取语音数据' }
|
||||
try {
|
||||
const outPtr = [null as any]
|
||||
const result = this.wcdbGetVoiceData(this.handle, sessionId, createTime, BigInt(svrId || 0), JSON.stringify(candidates), outPtr)
|
||||
if (result !== 0 || !outPtr[0]) {
|
||||
return { success: false, error: `获取语音数据失败: ${result}` }
|
||||
}
|
||||
const hex = this.decodeJsonPtr(outPtr[0])
|
||||
if (hex === null) return { success: false, error: '解析语音数据失败' }
|
||||
return { success: true, hex: hex || undefined }
|
||||
} catch (e) {
|
||||
return { success: false, error: String(e) }
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -341,6 +341,13 @@ export class WcdbService {
|
||||
return this.callWorker('getMessageById', { sessionId, localId })
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取语音数据
|
||||
*/
|
||||
async getVoiceData(sessionId: string, createTime: number, candidates: string[], svrId: string | number = 0): Promise<{ success: boolean; hex?: string; error?: string }> {
|
||||
return this.callWorker('getVoiceData', { sessionId, createTime, candidates, svrId })
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
export const wcdbService = new WcdbService()
|
||||
|
||||
174
electron/transcribeWorker.ts
Normal file
174
electron/transcribeWorker.ts
Normal file
@@ -0,0 +1,174 @@
|
||||
import { parentPort, workerData } from 'worker_threads'
|
||||
import * as fs from 'fs'
|
||||
|
||||
interface WorkerParams {
|
||||
modelPath: string
|
||||
tokensPath: string
|
||||
wavData: Buffer
|
||||
sampleRate: number
|
||||
}
|
||||
|
||||
async function run() {
|
||||
console.info('[TranscribeWorker] Worker process starting...');
|
||||
|
||||
if (!parentPort) {
|
||||
console.error('[TranscribeWorker] Critical Error: parentPort is null');
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
console.info('[TranscribeWorker] Loading sherpa-onnx-node...');
|
||||
// 动态加载以捕获可能的加载错误（如 C++ 运行库缺失等）
|
||||
let sherpa: any;
|
||||
try {
|
||||
sherpa = require('sherpa-onnx-node');
|
||||
console.info('[TranscribeWorker] sherpa-onnx-node loaded successfully.');
|
||||
} catch (requireError) {
|
||||
console.error('[TranscribeWorker] Failed to load sherpa-onnx-node:', requireError);
|
||||
parentPort.postMessage({ type: 'error', error: 'Failed to load speech engine: ' + String(requireError) });
|
||||
return;
|
||||
}
|
||||
|
||||
const { modelPath, tokensPath, wavData: rawWavData, sampleRate } = workerData as WorkerParams
|
||||
const wavData = Buffer.from(rawWavData);
|
||||
console.info('[TranscribeWorker] Params received:', {
|
||||
modelPath,
|
||||
tokensPath,
|
||||
sampleRate,
|
||||
wavDataLength: wavData?.length
|
||||
});
|
||||
|
||||
// 1. 初始化识别器 (SenseVoiceSmall)
|
||||
console.info('[TranscribeWorker] Initializing OfflineRecognizer...');
|
||||
const recognizerConfig = {
|
||||
modelConfig: {
|
||||
senseVoice: {
|
||||
model: modelPath,
|
||||
useInverseTextNormalization: 1
|
||||
},
|
||||
tokens: tokensPath,
|
||||
numThreads: 2,
|
||||
debug: 0
|
||||
}
|
||||
}
|
||||
const recognizer = new sherpa.OfflineRecognizer(recognizerConfig)
|
||||
console.info('[TranscribeWorker] OfflineRecognizer initialized.');
|
||||
|
||||
// 2. 初始化 VAD (用于流式输出效果)
|
||||
const vadPath = modelPath.replace('model.int8.onnx', 'silero_vad.onnx');
|
||||
console.info('[TranscribeWorker] VAD Path:', vadPath);
|
||||
|
||||
const vadConfig = {
|
||||
sileroVad: {
|
||||
model: vadPath,
|
||||
threshold: 0.5,
|
||||
minSilenceDuration: 0.5,
|
||||
minSpeechDuration: 0.25,
|
||||
windowSize: 512
|
||||
},
|
||||
sampleRate: sampleRate,
|
||||
debug: 0,
|
||||
numThreads: 1
|
||||
}
|
||||
|
||||
// 检查 VAD 模型是否存在，如果不存在则退回到全量识别
|
||||
if (!fs.existsSync(vadPath)) {
|
||||
console.warn('[TranscribeWorker] VAD model not found, falling back to full transcription.');
|
||||
|
||||
const pcmData = wavData.slice(44)
|
||||
const samples = new Float32Array(pcmData.length / 2)
|
||||
for (let i = 0; i < samples.length; i++) {
|
||||
samples[i] = pcmData.readInt16LE(i * 2) / 32768.0
|
||||
}
|
||||
|
||||
const stream = recognizer.createStream()
|
||||
stream.acceptWaveform({ sampleRate, samples })
|
||||
recognizer.decode(stream)
|
||||
const result = recognizer.getResult(stream)
|
||||
|
||||
console.info('[TranscribeWorker] Full transcription result:', result.text);
|
||||
parentPort.postMessage({ type: 'final', text: result.text })
|
||||
return
|
||||
}
|
||||
|
||||
console.info('[TranscribeWorker] Initializing Vad...');
|
||||
const vad = new sherpa.Vad(vadConfig, 60) // 60s max
|
||||
console.info('[TranscribeWorker] VAD initialized.');
|
||||
|
||||
// 3. 处理音频数据
|
||||
const pcmData = wavData.slice(44)
|
||||
const samples = new Float32Array(pcmData.length / 2)
|
||||
for (let i = 0; i < samples.length; i++) {
|
||||
samples[i] = pcmData.readInt16LE(i * 2) / 32768.0
|
||||
}
|
||||
|
||||
// 模拟流式输入：按小块喂给 VAD
|
||||
const chunkSize = 1600 // 100ms for 16kHz
|
||||
let offset = 0
|
||||
let accumulatedText = ''
|
||||
|
||||
console.info('[TranscribeWorker] Starting processing loop...');
|
||||
let segmentCount = 0;
|
||||
|
||||
while (offset < samples.length) {
|
||||
const end = Math.min(offset + chunkSize, samples.length)
|
||||
const chunk = samples.subarray(offset, end)
|
||||
|
||||
vad.acceptWaveform(chunk)
|
||||
|
||||
// 检查 ASR 结果
|
||||
while (!vad.isEmpty()) {
|
||||
const segment = vad.front(false)
|
||||
|
||||
// Log segment detection
|
||||
console.info(`[TranscribeWorker] VAD Segment detected. Duration: ${segment.samples.length / sampleRate}s`);
|
||||
|
||||
const stream = recognizer.createStream()
|
||||
stream.acceptWaveform({ sampleRate, samples: segment.samples })
|
||||
recognizer.decode(stream)
|
||||
const result = recognizer.getResult(stream)
|
||||
|
||||
if (result.text) {
|
||||
const text = result.text.trim();
|
||||
if (text.length > 0) {
|
||||
accumulatedText += (accumulatedText ? ' ' : '') + text
|
||||
segmentCount++;
|
||||
console.info(`[TranscribeWorker] Partial update #${segmentCount}: "${text}" -> Total: "${accumulatedText.substring(0, 50)}..."`);
|
||||
parentPort.postMessage({ type: 'partial', text: accumulatedText })
|
||||
}
|
||||
}
|
||||
vad.pop()
|
||||
}
|
||||
|
||||
offset = end
|
||||
// 让出主循环，保持响应
|
||||
await new Promise(resolve => setImmediate(resolve))
|
||||
}
|
||||
|
||||
// Ensure any remaining buffer is processed
|
||||
vad.flush();
|
||||
while (!vad.isEmpty()) {
|
||||
const segment = vad.front(false);
|
||||
console.info(`[TranscribeWorker] Final VAD Segment detected. Duration: ${segment.samples.length / sampleRate}s`);
|
||||
const stream = recognizer.createStream()
|
||||
stream.acceptWaveform({ sampleRate, samples: segment.samples })
|
||||
recognizer.decode(stream)
|
||||
const result = recognizer.getResult(stream)
|
||||
if (result.text) {
|
||||
accumulatedText += (accumulatedText ? ' ' : '') + result.text.trim()
|
||||
console.info(`[TranscribeWorker] Final partial update: "${result.text.trim()}"`);
|
||||
parentPort.postMessage({ type: 'partial', text: accumulatedText })
|
||||
}
|
||||
vad.pop();
|
||||
}
|
||||
|
||||
console.info('[TranscribeWorker] Loop finished. Final text length:', accumulatedText.length);
|
||||
parentPort.postMessage({ type: 'final', text: accumulatedText })
|
||||
|
||||
} catch (error) {
|
||||
console.error('[TranscribeWorker] Fatal error:', error);
|
||||
parentPort.postMessage({ type: 'error', error: String(error) })
|
||||
}
|
||||
}
|
||||
|
||||
run();
|
||||
4
electron/types/sherpa-onnx-node.d.ts
vendored
Normal file
4
electron/types/sherpa-onnx-node.d.ts
vendored
Normal file
@@ -0,0 +1,4 @@
|
||||
declare module 'sherpa-onnx-node' {
|
||||
const content: any;
|
||||
export = content;
|
||||
}
|
||||
@@ -110,6 +110,12 @@ if (parentPort) {
|
||||
case 'getMessageById':
|
||||
result = await core.getMessageById(payload.sessionId, payload.localId)
|
||||
break
|
||||
case 'getVoiceData':
|
||||
result = await core.getVoiceData(payload.sessionId, payload.createTime, payload.candidates, payload.svrId)
|
||||
if (!result.success) {
|
||||
console.error('[wcdbWorker] getVoiceData failed:', result.error)
|
||||
}
|
||||
break
|
||||
default:
|
||||
result = { success: false, error: `Unknown method: ${type}` }
|
||||
}
|
||||
|
||||
194
package-lock.json
generated
194
package-lock.json
generated
@@ -25,8 +25,9 @@
|
||||
"react": "^19.2.3",
|
||||
"react-dom": "^19.2.3",
|
||||
"react-router-dom": "^7.1.1",
|
||||
"sherpa-onnx-node": "^1.10.38",
|
||||
"silk-wasm": "^3.7.1",
|
||||
"wechat-emojis": "^1.0.2",
|
||||
"whisper-node": "^1.1.1",
|
||||
"zustand": "^5.0.2"
|
||||
},
|
||||
"devDependencies": {
|
||||
@@ -6005,6 +6006,7 @@
|
||||
"version": "1.1.2",
|
||||
"resolved": "https://registry.npmmirror.com/function-bind/-/function-bind-1.1.2.tgz",
|
||||
"integrity": "sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
@@ -6297,6 +6299,7 @@
|
||||
"version": "2.0.2",
|
||||
"resolved": "https://registry.npmmirror.com/hasown/-/hasown-2.0.2.tgz",
|
||||
"integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"function-bind": "^1.1.2"
|
||||
@@ -6539,15 +6542,6 @@
|
||||
"integrity": "sha512-JV/yugV2uzW5iMRSiZAyDtQd+nxtUnjeLt0acNdw98kKLrvuRVyB80tsREOE7yvGVgalhZ6RNXCmEHkUKBKxew==",
|
||||
"license": "ISC"
|
||||
},
|
||||
"node_modules/interpret": {
|
||||
"version": "1.4.0",
|
||||
"resolved": "https://registry.npmmirror.com/interpret/-/interpret-1.4.0.tgz",
|
||||
"integrity": "sha512-agE4QfB2Lkp9uICn7BAqoscw4SZP9kTE2hxiFI3jBPmXJfdqiahTbUuKGsMoN2GtqL9AxhYioAcVvgsb1HvRbA==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.10"
|
||||
}
|
||||
},
|
||||
"node_modules/ip-address": {
|
||||
"version": "10.1.0",
|
||||
"resolved": "https://registry.npmmirror.com/ip-address/-/ip-address-10.1.0.tgz",
|
||||
@@ -6571,21 +6565,6 @@
|
||||
"is-ci": "bin.js"
|
||||
}
|
||||
},
|
||||
"node_modules/is-core-module": {
|
||||
"version": "2.16.1",
|
||||
"resolved": "https://registry.npmmirror.com/is-core-module/-/is-core-module-2.16.1.tgz",
|
||||
"integrity": "sha512-UfoeMA6fIJ8wTYFEUjelnaGI67v6+N7qXJEvQuIGa99l4xsCruSYOVSQ0uPANn4dAzm8lkYPaKLrrijLq7x23w==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"hasown": "^2.0.2"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.4"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/is-extglob": {
|
||||
"version": "2.1.1",
|
||||
"resolved": "https://registry.npmmirror.com/is-extglob/-/is-extglob-2.1.1.tgz",
|
||||
@@ -7753,12 +7732,6 @@
|
||||
"node": ">=8"
|
||||
}
|
||||
},
|
||||
"node_modules/path-parse": {
|
||||
"version": "1.0.7",
|
||||
"resolved": "https://registry.npmmirror.com/path-parse/-/path-parse-1.0.7.tgz",
|
||||
"integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/path-scurry": {
|
||||
"version": "1.11.1",
|
||||
"resolved": "https://registry.npmmirror.com/path-scurry/-/path-scurry-1.11.1.tgz",
|
||||
@@ -8142,26 +8115,6 @@
|
||||
"url": "https://paulmillr.com/funding/"
|
||||
}
|
||||
},
|
||||
"node_modules/readline-sync": {
|
||||
"version": "1.4.10",
|
||||
"resolved": "https://registry.npmmirror.com/readline-sync/-/readline-sync-1.4.10.tgz",
|
||||
"integrity": "sha512-gNva8/6UAe8QYepIQH/jQ2qn91Qj0B9sYjMBBs3QOB8F2CXcKgLxQaJRP76sWVRQt+QU+8fAkCbCvjjMFu7Ycw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.8.0"
|
||||
}
|
||||
},
|
||||
"node_modules/rechoir": {
|
||||
"version": "0.6.2",
|
||||
"resolved": "https://registry.npmmirror.com/rechoir/-/rechoir-0.6.2.tgz",
|
||||
"integrity": "sha512-HFM8rkZ+i3zrV+4LQjwQ0W+ez98pApMGM3HUrN04j3CqzPOzl9nmP15Y8YXNm8QHGv/eacOVEjqhmWpkRV0NAw==",
|
||||
"dependencies": {
|
||||
"resolve": "^1.1.6"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.10"
|
||||
}
|
||||
},
|
||||
"node_modules/require-directory": {
|
||||
"version": "2.1.1",
|
||||
"resolved": "https://registry.npmmirror.com/require-directory/-/require-directory-2.1.1.tgz",
|
||||
@@ -8199,26 +8152,6 @@
|
||||
"url": "https://github.com/sponsors/jet2jet"
|
||||
}
|
||||
},
|
||||
"node_modules/resolve": {
|
||||
"version": "1.22.11",
|
||||
"resolved": "https://registry.npmmirror.com/resolve/-/resolve-1.22.11.tgz",
|
||||
"integrity": "sha512-RfqAvLnMl313r7c9oclB1HhUEAezcpLjz95wFH4LVuhk9JF/r22qmVP9AMmOU4vMX7Q8pN8jwNg/CSpdFnMjTQ==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"is-core-module": "^2.16.1",
|
||||
"path-parse": "^1.0.7",
|
||||
"supports-preserve-symlinks-flag": "^1.0.0"
|
||||
},
|
||||
"bin": {
|
||||
"resolve": "bin/resolve"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.4"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/resolve-alpn": {
|
||||
"version": "1.2.1",
|
||||
"resolved": "https://registry.npmmirror.com/resolve-alpn/-/resolve-alpn-1.2.1.tgz",
|
||||
@@ -8564,23 +8497,78 @@
|
||||
"node": ">=8"
|
||||
}
|
||||
},
|
||||
"node_modules/shelljs": {
|
||||
"version": "0.8.5",
|
||||
"resolved": "https://registry.npmmirror.com/shelljs/-/shelljs-0.8.5.tgz",
|
||||
"integrity": "sha512-TiwcRcrkhHvbrZbnRcFYMLl30Dfov3HKqzp5tO5b4pt6G/SezKcYhmDg15zXVBswHmctSAQKznqNW2LO5tTDow==",
|
||||
"license": "BSD-3-Clause",
|
||||
"dependencies": {
|
||||
"glob": "^7.0.0",
|
||||
"interpret": "^1.0.0",
|
||||
"rechoir": "^0.6.2"
|
||||
},
|
||||
"bin": {
|
||||
"shjs": "bin/shjs"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=4"
|
||||
"node_modules/sherpa-onnx-darwin-arm64": {
|
||||
"version": "1.12.23",
|
||||
"resolved": "https://registry.npmmirror.com/sherpa-onnx-darwin-arm64/-/sherpa-onnx-darwin-arm64-1.12.23.tgz",
|
||||
"integrity": "sha512-zbjNUUH/IXhjRyRJ9mpcWVOGIVr31a/qXBPsfOYc7U8cgwcq33Vmj2OzoLYWQF6T+puqCAE4nMxFAxJvdZekhg==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"license": "Apache-2.0",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
]
|
||||
},
|
||||
"node_modules/sherpa-onnx-linux-x64": {
|
||||
"version": "1.12.23",
|
||||
"resolved": "https://registry.npmmirror.com/sherpa-onnx-linux-x64/-/sherpa-onnx-linux-x64-1.12.23.tgz",
|
||||
"integrity": "sha512-pUZIdDvPtyRXQDGo9R9MIBf2AFUzfgcGmutoulsEdH3hpK6JteR7Z/5pfrZIIqe/O99djAjEHK4AlwLHC2jiZw==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"license": "Apache-2.0",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
]
|
||||
},
|
||||
"node_modules/sherpa-onnx-node": {
|
||||
"version": "1.12.23",
|
||||
"resolved": "https://registry.npmmirror.com/sherpa-onnx-node/-/sherpa-onnx-node-1.12.23.tgz",
|
||||
"integrity": "sha512-09SRixVSjsajxeCV8Hy9R5J4IHPtw7vNgaIcEokdh/LpU7sY+e12z9uHHIMMMgNiInyGEH74wIwjLXms+W7qRA==",
|
||||
"license": "Apache-2.0",
|
||||
"optionalDependencies": {
|
||||
"sherpa-onnx-darwin-arm64": "^1.12.23",
|
||||
"sherpa-onnx-darwin-x64": "^1.12.23",
|
||||
"sherpa-onnx-linux-arm64": "^1.12.23",
|
||||
"sherpa-onnx-linux-x64": "^1.12.23",
|
||||
"sherpa-onnx-win-ia32": "^1.12.23",
|
||||
"sherpa-onnx-win-x64": "^1.12.23"
|
||||
}
|
||||
},
|
||||
"node_modules/sherpa-onnx-node/node_modules/sherpa-onnx-darwin-x64": {
|
||||
"optional": true
|
||||
},
|
||||
"node_modules/sherpa-onnx-node/node_modules/sherpa-onnx-linux-arm64": {
|
||||
"optional": true
|
||||
},
|
||||
"node_modules/sherpa-onnx-win-ia32": {
|
||||
"version": "1.12.23",
|
||||
"resolved": "https://registry.npmmirror.com/sherpa-onnx-win-ia32/-/sherpa-onnx-win-ia32-1.12.23.tgz",
|
||||
"integrity": "sha512-MyLsK7r6dd7paglyTgb8UHTXTEFqOzA91u6VDV64Lq8rDGuOFVYioxX7vlwmGe1A9o7VhuOPNaKcRjEPtVDhBQ==",
|
||||
"cpu": [
|
||||
"ia32"
|
||||
],
|
||||
"license": "Apache-2.0",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"win32"
|
||||
]
|
||||
},
|
||||
"node_modules/sherpa-onnx-win-x64": {
|
||||
"version": "1.12.23",
|
||||
"resolved": "https://registry.npmmirror.com/sherpa-onnx-win-x64/-/sherpa-onnx-win-x64-1.12.23.tgz",
|
||||
"integrity": "sha512-pdHEYMJiYy8+xzH2WkBVS4/hnRwqjY8FaWnjs0NBgQZnPmc/k4M+TAiauTOuFDNK4GPwFQnjwrCGx6jI9AOkOg==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"license": "Apache-2.0",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"win32"
|
||||
]
|
||||
},
|
||||
"node_modules/signal-exit": {
|
||||
"version": "3.0.7",
|
||||
"resolved": "https://registry.npmmirror.com/signal-exit/-/signal-exit-3.0.7.tgz",
|
||||
@@ -8588,6 +8576,15 @@
|
||||
"dev": true,
|
||||
"license": "ISC"
|
||||
},
|
||||
"node_modules/silk-wasm": {
|
||||
"version": "3.7.1",
|
||||
"resolved": "https://registry.npmmirror.com/silk-wasm/-/silk-wasm-3.7.1.tgz",
|
||||
"integrity": "sha512-mXPwLRtZxrYV3TZx41jMAeKc80wvmyrcXIcs8HctFxK15Ahz2OJQENYhNgEPeCEOdI6Mbx1NxQsqxzwc3DKerw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=16.11.0"
|
||||
}
|
||||
},
|
||||
"node_modules/simple-concat": {
|
||||
"version": "1.0.1",
|
||||
"resolved": "https://registry.npmmirror.com/simple-concat/-/simple-concat-1.0.1.tgz",
|
||||
@@ -8888,18 +8885,6 @@
|
||||
"node": ">=8"
|
||||
}
|
||||
},
|
||||
"node_modules/supports-preserve-symlinks-flag": {
|
||||
"version": "1.0.0",
|
||||
"resolved": "https://registry.npmmirror.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz",
|
||||
"integrity": "sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.4"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/tar": {
|
||||
"version": "6.2.1",
|
||||
"resolved": "https://registry.npmmirror.com/tar/-/tar-6.2.1.tgz",
|
||||
@@ -9602,19 +9587,6 @@
|
||||
"node": ">= 8"
|
||||
}
|
||||
},
|
||||
"node_modules/whisper-node": {
|
||||
"version": "1.1.1",
|
||||
"resolved": "https://registry.npmmirror.com/whisper-node/-/whisper-node-1.1.1.tgz",
|
||||
"integrity": "sha512-s1czx7pL0g63QOz0X9oAu7vOf4GzmFfQIy6J7msOAH5Yyiy+4a3w6+Uv0hiHvHkfBWk/+hG8nY3VEFdIapF83g==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"readline-sync": "^1.4.10",
|
||||
"shelljs": "^0.8.5"
|
||||
},
|
||||
"bin": {
|
||||
"download": "dist/download.js"
|
||||
}
|
||||
},
|
||||
"node_modules/wide-align": {
|
||||
"version": "1.1.5",
|
||||
"resolved": "https://registry.npmmirror.com/wide-align/-/wide-align-1.1.5.tgz",
|
||||
|
||||
10
package.json
10
package.json
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "weflow",
|
||||
"version": "1.1.2",
|
||||
"version": "1.2.0",
|
||||
"description": "WeFlow",
|
||||
"main": "dist-electron/main.js",
|
||||
"author": "cc",
|
||||
@@ -30,8 +30,9 @@
|
||||
"react": "^19.2.3",
|
||||
"react-dom": "^19.2.3",
|
||||
"react-router-dom": "^7.1.1",
|
||||
"sherpa-onnx-node": "^1.10.38",
|
||||
"silk-wasm": "^3.7.1",
|
||||
"wechat-emojis": "^1.0.2",
|
||||
"whisper-node": "^1.1.1",
|
||||
"zustand": "^5.0.2"
|
||||
},
|
||||
"devDependencies": {
|
||||
@@ -102,7 +103,8 @@
|
||||
"dist-electron/**/*"
|
||||
],
|
||||
"asarUnpack": [
|
||||
"node_modules/ffmpeg-static/**/*"
|
||||
"node_modules/silk-wasm/**/*",
|
||||
"node_modules/sherpa-onnx-node/**/*"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
63
src/components/AnimatedStreamingText.tsx
Normal file
63
src/components/AnimatedStreamingText.tsx
Normal file
@@ -0,0 +1,63 @@
|
||||
import React, { memo, useEffect, useState, useRef } from 'react'
|
||||
|
||||
interface AnimatedStreamingTextProps {
|
||||
text: string
|
||||
className?: string
|
||||
loading?: boolean
|
||||
}
|
||||
|
||||
export const AnimatedStreamingText = memo(({ text, className, loading }: AnimatedStreamingTextProps) => {
|
||||
const [displayedSegments, setDisplayedSegments] = useState<string[]>([])
|
||||
const prevTextRef = useRef('')
|
||||
|
||||
useEffect(() => {
|
||||
const currentText = (text || '').trim()
|
||||
const prevText = prevTextRef.current
|
||||
|
||||
if (currentText === prevText) return
|
||||
if (!currentText.startsWith(prevText) && prevText !== '') {
|
||||
// 如果不是追加而是全新的文本（比如重新识别），则重置
|
||||
setDisplayedSegments([currentText])
|
||||
prevTextRef.current = currentText
|
||||
return
|
||||
}
|
||||
|
||||
const newPart = currentText.slice(prevText.length)
|
||||
if (newPart) {
|
||||
// 将新部分作为单独的段加入，以触发动画
|
||||
setDisplayedSegments(prev => [...prev, newPart])
|
||||
}
|
||||
prevTextRef.current = currentText
|
||||
}, [text])
|
||||
|
||||
// 处理 loading 状态的显示
|
||||
if (loading && !text) {
|
||||
return <span className={className}>转写中<span className="dot-flashing">...</span></span>
|
||||
}
|
||||
|
||||
return (
|
||||
<span className={className}>
|
||||
{displayedSegments.map((segment, index) => (
|
||||
<span key={index} className="fade-in-text">
|
||||
{segment}
|
||||
</span>
|
||||
))}
|
||||
<style>{`
|
||||
.fade-in-text {
|
||||
animation: fadeIn 0.5s ease-out forwards;
|
||||
opacity: 0;
|
||||
}
|
||||
@keyframes fadeIn {
|
||||
from { opacity: 0; transform: translateY(2px); }
|
||||
to { opacity: 1; transform: translateY(0); }
|
||||
}
|
||||
.dot-flashing {
|
||||
animation: blink 1s infinite;
|
||||
}
|
||||
@keyframes blink { 50% { opacity: 0; } }
|
||||
`}</style>
|
||||
</span>
|
||||
)
|
||||
})
|
||||
|
||||
AnimatedStreamingText.displayName = 'AnimatedStreamingText'
|
||||
255
src/components/VoiceTranscribeDialog.scss
Normal file
255
src/components/VoiceTranscribeDialog.scss
Normal file
@@ -0,0 +1,255 @@
|
||||
.voice-transcribe-dialog-overlay {
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
right: 0;
|
||||
bottom: 0;
|
||||
background: rgba(0, 0, 0, 0.6);
|
||||
backdrop-filter: blur(4px);
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
z-index: 10000;
|
||||
animation: fadeIn 0.2s ease-out;
|
||||
}
|
||||
|
||||
.voice-transcribe-dialog {
|
||||
background: var(--color-bg-elevated);
|
||||
border-radius: 16px;
|
||||
box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3);
|
||||
width: 90%;
|
||||
max-width: 480px;
|
||||
animation: slideUp 0.3s ease-out;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.dialog-header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
padding: 20px 24px;
|
||||
border-bottom: 1px solid var(--color-border);
|
||||
|
||||
h3 {
|
||||
margin: 0;
|
||||
font-size: 18px;
|
||||
font-weight: 600;
|
||||
color: var(--color-text-primary);
|
||||
}
|
||||
|
||||
.close-button {
|
||||
background: none;
|
||||
border: none;
|
||||
cursor: pointer;
|
||||
padding: 4px;
|
||||
color: var(--color-text-secondary);
|
||||
border-radius: 6px;
|
||||
transition: all 0.15s ease;
|
||||
|
||||
&:hover {
|
||||
background: var(--color-bg-hover);
|
||||
color: var(--color-text-primary);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.dialog-content {
|
||||
padding: 24px;
|
||||
}
|
||||
|
||||
.info-section {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
text-align: center;
|
||||
gap: 16px;
|
||||
|
||||
.info-icon {
|
||||
color: var(--color-primary);
|
||||
opacity: 0.8;
|
||||
}
|
||||
|
||||
.info-text {
|
||||
font-size: 15px;
|
||||
color: var(--color-text-primary);
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.model-info {
|
||||
width: 100%;
|
||||
background: var(--color-bg);
|
||||
border-radius: 12px;
|
||||
padding: 16px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 12px;
|
||||
|
||||
.model-item {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
font-size: 14px;
|
||||
|
||||
.label {
|
||||
color: var(--color-text-secondary);
|
||||
}
|
||||
|
||||
.value {
|
||||
color: var(--color-text-primary);
|
||||
font-weight: 500;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.download-section {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
gap: 16px;
|
||||
padding: 20px 0;
|
||||
|
||||
.download-icon {
|
||||
.downloading-icon {
|
||||
color: var(--color-primary);
|
||||
animation: bounce 1s ease-in-out infinite;
|
||||
}
|
||||
}
|
||||
|
||||
.download-text {
|
||||
font-size: 15px;
|
||||
color: var(--color-text-primary);
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.progress-bar {
|
||||
width: 100%;
|
||||
height: 6px;
|
||||
background: var(--color-bg);
|
||||
border-radius: 3px;
|
||||
overflow: hidden;
|
||||
|
||||
.progress-fill {
|
||||
height: 100%;
|
||||
background: linear-gradient(90deg, var(--color-primary), var(--color-accent));
|
||||
border-radius: 3px;
|
||||
transition: width 0.3s ease;
|
||||
}
|
||||
}
|
||||
|
||||
.progress-text {
|
||||
font-size: 14px;
|
||||
color: var(--color-text-secondary);
|
||||
margin: 0;
|
||||
font-variant-numeric: tabular-nums;
|
||||
}
|
||||
}
|
||||
|
||||
.complete-section {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
gap: 16px;
|
||||
padding: 20px 0;
|
||||
|
||||
.complete-icon {
|
||||
color: var(--color-success);
|
||||
}
|
||||
|
||||
.complete-text {
|
||||
font-size: 15px;
|
||||
color: var(--color-text-primary);
|
||||
margin: 0;
|
||||
}
|
||||
}
|
||||
|
||||
.error-message {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
padding: 12px 16px;
|
||||
background: rgba(239, 68, 68, 0.1);
|
||||
border: 1px solid rgba(239, 68, 68, 0.3);
|
||||
border-radius: 8px;
|
||||
color: #ef4444;
|
||||
font-size: 14px;
|
||||
margin-top: 16px;
|
||||
}
|
||||
|
||||
.dialog-actions {
|
||||
display: flex;
|
||||
gap: 12px;
|
||||
margin-top: 24px;
|
||||
|
||||
button {
|
||||
flex: 1;
|
||||
padding: 12px 20px;
|
||||
border-radius: 8px;
|
||||
font-size: 14px;
|
||||
font-weight: 500;
|
||||
cursor: pointer;
|
||||
transition: all 0.15s ease;
|
||||
border: none;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 6px;
|
||||
|
||||
&.btn-secondary {
|
||||
background: var(--color-bg);
|
||||
color: var(--color-text-primary);
|
||||
|
||||
&:hover {
|
||||
background: var(--color-bg-hover);
|
||||
}
|
||||
}
|
||||
|
||||
&.btn-primary {
|
||||
background: var(--color-primary);
|
||||
color: white;
|
||||
|
||||
&:hover {
|
||||
opacity: 0.9;
|
||||
transform: translateY(-1px);
|
||||
}
|
||||
|
||||
&:active {
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes fadeIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes slideUp {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateY(20px);
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes bounce {
|
||||
|
||||
0%,
|
||||
100% {
|
||||
transform: translateY(0);
|
||||
}
|
||||
|
||||
50% {
|
||||
transform: translateY(-10px);
|
||||
}
|
||||
}
|
||||
145
src/components/VoiceTranscribeDialog.tsx
Normal file
145
src/components/VoiceTranscribeDialog.tsx
Normal file
@@ -0,0 +1,145 @@
|
||||
import React, { useState, useEffect } from 'react'
|
||||
import { Download, X, CheckCircle, AlertCircle } from 'lucide-react'
|
||||
import './VoiceTranscribeDialog.scss'
|
||||
|
||||
interface VoiceTranscribeDialogProps {
|
||||
onClose: () => void
|
||||
onDownloadComplete: () => void
|
||||
}
|
||||
|
||||
export const VoiceTranscribeDialog: React.FC<VoiceTranscribeDialogProps> = ({
|
||||
onClose,
|
||||
onDownloadComplete
|
||||
}) => {
|
||||
const [isDownloading, setIsDownloading] = useState(false)
|
||||
const [downloadProgress, setDownloadProgress] = useState(0)
|
||||
const [downloadError, setDownloadError] = useState<string | null>(null)
|
||||
const [isComplete, setIsComplete] = useState(false)
|
||||
|
||||
useEffect(() => {
|
||||
// 监听下载进度
|
||||
const removeListener = window.electronAPI.whisper?.onDownloadProgress?.((payload) => {
|
||||
if (payload.percent !== undefined) {
|
||||
setDownloadProgress(payload.percent)
|
||||
}
|
||||
})
|
||||
|
||||
return () => {
|
||||
removeListener?.()
|
||||
}
|
||||
}, [])
|
||||
|
||||
const handleDownload = async () => {
|
||||
setIsDownloading(true)
|
||||
setDownloadError(null)
|
||||
setDownloadProgress(0)
|
||||
|
||||
try {
|
||||
const result = await window.electronAPI.whisper?.downloadModel()
|
||||
|
||||
if (result?.success) {
|
||||
setIsComplete(true)
|
||||
setDownloadProgress(100)
|
||||
|
||||
// 延迟关闭弹窗并触发转写
|
||||
setTimeout(() => {
|
||||
onDownloadComplete()
|
||||
}, 1000)
|
||||
} else {
|
||||
setDownloadError(result?.error || '下载失败')
|
||||
setIsDownloading(false)
|
||||
}
|
||||
} catch (error) {
|
||||
setDownloadError(String(error))
|
||||
setIsDownloading(false)
|
||||
}
|
||||
}
|
||||
|
||||
const handleCancel = () => {
|
||||
if (!isDownloading) {
|
||||
onClose()
|
||||
}
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="voice-transcribe-dialog-overlay" onClick={handleCancel}>
|
||||
<div className="voice-transcribe-dialog" onClick={(e) => e.stopPropagation()}>
|
||||
<div className="dialog-header">
|
||||
<h3>语音转文字</h3>
|
||||
{!isDownloading && (
|
||||
<button className="close-button" onClick={onClose}>
|
||||
<X size={20} />
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
|
||||
<div className="dialog-content">
|
||||
{!isDownloading && !isComplete && (
|
||||
<>
|
||||
<div className="info-section">
|
||||
<AlertCircle size={48} className="info-icon" />
|
||||
<p className="info-text">
|
||||
首次使用语音转文字功能需要下载 AI 模型
|
||||
</p>
|
||||
<div className="model-info">
|
||||
<div className="model-item">
|
||||
<span className="label">模型名称：</span>
|
||||
<span className="value">SenseVoiceSmall</span>
|
||||
</div>
|
||||
<div className="model-item">
|
||||
<span className="label">文件大小：</span>
|
||||
<span className="value">约 240 MB</span>
|
||||
</div>
|
||||
<div className="model-item">
|
||||
<span className="label">支持语言：</span>
|
||||
<span className="value">中文、英文、日文、韩文</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{downloadError && (
|
||||
<div className="error-message">
|
||||
<AlertCircle size={16} />
|
||||
<span>{downloadError}</span>
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div className="dialog-actions">
|
||||
<button className="btn-secondary" onClick={onClose}>
|
||||
取消
|
||||
</button>
|
||||
<button className="btn-primary" onClick={handleDownload}>
|
||||
<Download size={16} />
|
||||
<span>立即下载</span>
|
||||
</button>
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
|
||||
{isDownloading && !isComplete && (
|
||||
<div className="download-section">
|
||||
<div className="download-icon">
|
||||
<Download size={48} className="downloading-icon" />
|
||||
</div>
|
||||
<p className="download-text">正在下载模型...</p>
|
||||
<div className="progress-bar">
|
||||
<div
|
||||
className="progress-fill"
|
||||
style={{ width: `${downloadProgress}%` }}
|
||||
/>
|
||||
</div>
|
||||
<p className="progress-text">{downloadProgress.toFixed(1)}%</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{isComplete && (
|
||||
<div className="complete-section">
|
||||
<CheckCircle size={48} className="complete-icon" />
|
||||
<p className="complete-text">下载完成！正在转写语音...</p>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
@@ -1882,3 +1882,31 @@
|
||||
transform: translateX(0);
|
||||
}
|
||||
}
|
||||
/* 语音转文字按钮样式 */
|
||||
.voice-transcribe-btn {
|
||||
width: 28px;
|
||||
height: 28px;
|
||||
padding: 0;
|
||||
margin-left: 8px;
|
||||
border: none;
|
||||
background: var(--primary-light);
|
||||
border-radius: 50%;
|
||||
color: var(--primary);
|
||||
cursor: pointer;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
transition: all 0.2s;
|
||||
flex-shrink: 0;
|
||||
|
||||
&:hover {
|
||||
background: var(--primary);
|
||||
color: #fff;
|
||||
transform: scale(1.05);
|
||||
}
|
||||
|
||||
svg {
|
||||
width: 14px;
|
||||
height: 14px;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,8 +5,21 @@ import { useChatStore } from '../stores/chatStore'
|
||||
import type { ChatSession, Message } from '../types/models'
|
||||
import { getEmojiPath } from 'wechat-emojis'
|
||||
import { ImagePreview } from '../components/ImagePreview'
|
||||
import { VoiceTranscribeDialog } from '../components/VoiceTranscribeDialog'
|
||||
import { AnimatedStreamingText } from '../components/AnimatedStreamingText'
|
||||
import './ChatPage.scss'
|
||||
|
||||
// 系统消息类型常量
|
||||
const SYSTEM_MESSAGE_TYPES = [
|
||||
10000, // 系统消息
|
||||
266287972401, // 拍一拍
|
||||
]
|
||||
|
||||
// 判断是否为系统消息
|
||||
function isSystemMessage(localType: number): boolean {
|
||||
return SYSTEM_MESSAGE_TYPES.includes(localType)
|
||||
}
|
||||
|
||||
interface ChatPageProps {
|
||||
// 保留接口以备将来扩展
|
||||
}
|
||||
@@ -138,6 +151,8 @@ function ChatPage(_props: ChatPageProps) {
|
||||
const [highlightedMessageKeys, setHighlightedMessageKeys] = useState<string[]>([])
|
||||
const [isRefreshingSessions, setIsRefreshingSessions] = useState(false)
|
||||
const [hasInitialMessages, setHasInitialMessages] = useState(false)
|
||||
const [showVoiceTranscribeDialog, setShowVoiceTranscribeDialog] = useState(false)
|
||||
const [pendingVoiceTranscriptRequest, setPendingVoiceTranscriptRequest] = useState<{ sessionId: string; messageId: string } | null>(null)
|
||||
|
||||
// 联系人信息加载控制
|
||||
const isEnrichingRef = useRef(false)
|
||||
@@ -1128,10 +1143,10 @@ function ChatPage(_props: ChatPageProps) {
|
||||
const prevMsg = index > 0 ? messages[index - 1] : undefined
|
||||
const showDateDivider = shouldShowDateDivider(msg, prevMsg)
|
||||
|
||||
// 显示时间：第一条消息，或者与上一条消息间隔超过5分钟
|
||||
// 显示时间:第一条消息,或者与上一条消息间隔超过5分钟
|
||||
const showTime = !prevMsg || (msg.createTime - prevMsg.createTime > 300)
|
||||
const isSent = msg.isSend === 1
|
||||
const isSystem = msg.localType === 10000
|
||||
const isSystem = isSystemMessage(msg.localType)
|
||||
|
||||
// 系统消息居中显示
|
||||
const wrapperClass = isSystem ? 'system' : (isSent ? 'sent' : 'received')
|
||||
@@ -1272,6 +1287,35 @@ function ChatPage(_props: ChatPageProps) {
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* 语音转文字模型下载弹窗 */}
|
||||
{showVoiceTranscribeDialog && (
|
||||
<VoiceTranscribeDialog
|
||||
onClose={() => {
|
||||
setShowVoiceTranscribeDialog(false)
|
||||
setPendingVoiceTranscriptRequest(null)
|
||||
}}
|
||||
onDownloadComplete={async () => {
|
||||
setShowVoiceTranscribeDialog(false)
|
||||
// 下载完成后，继续转写
|
||||
if (pendingVoiceTranscriptRequest) {
|
||||
try {
|
||||
const result = await window.electronAPI.chat.getVoiceTranscript(
|
||||
pendingVoiceTranscriptRequest.sessionId,
|
||||
pendingVoiceTranscriptRequest.messageId
|
||||
)
|
||||
if (result.success) {
|
||||
const cacheKey = `voice-transcript:${pendingVoiceTranscriptRequest.messageId}`
|
||||
voiceTranscriptCache.set(cacheKey, (result.transcript || '').trim())
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('[ChatPage] 语音转文字失败:', error)
|
||||
}
|
||||
}
|
||||
setPendingVoiceTranscriptRequest(null)
|
||||
}}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
@@ -1292,7 +1336,7 @@ function MessageBubble({ message, session, showTime, myAvatarUrl, isGroupChat }:
|
||||
myAvatarUrl?: string;
|
||||
isGroupChat?: boolean;
|
||||
}) {
|
||||
const isSystem = message.localType === 10000
|
||||
const isSystem = isSystemMessage(message.localType)
|
||||
const isEmoji = message.localType === 47
|
||||
const isImage = message.localType === 3
|
||||
const isVoice = message.localType === 34
|
||||
@@ -1570,7 +1614,7 @@ function MessageBubble({ message, session, showTime, myAvatarUrl, isGroupChat }:
|
||||
if (!isImage) return
|
||||
if (imageLocalPath) return // 已有图片，不需要解密
|
||||
if (!message.imageMd5 && !message.imageDatName) return
|
||||
|
||||
|
||||
const container = imageContainerRef.current
|
||||
if (!container) return
|
||||
|
||||
@@ -1612,8 +1656,32 @@ function MessageBubble({ message, session, showTime, myAvatarUrl, isGroupChat }:
|
||||
}
|
||||
}, [isVoice])
|
||||
|
||||
// 监听流式转写结果
|
||||
useEffect(() => {
|
||||
if (!isVoice) return
|
||||
const removeListener = window.electronAPI.chat.onVoiceTranscriptPartial?.((payload: { msgId: string; text: string }) => {
|
||||
if (payload.msgId === String(message.localId)) {
|
||||
setVoiceTranscript(payload.text)
|
||||
voiceTranscriptCache.set(voiceTranscriptCacheKey, payload.text)
|
||||
}
|
||||
})
|
||||
return () => removeListener?.()
|
||||
}, [isVoice, message.localId, voiceTranscriptCacheKey])
|
||||
|
||||
const requestVoiceTranscript = useCallback(async () => {
|
||||
if (voiceTranscriptLoading || voiceTranscriptRequestedRef.current) return
|
||||
|
||||
// 检查模型状态
|
||||
const modelStatus = await window.electronAPI.whisper?.getModelStatus()
|
||||
if (!modelStatus?.exists) {
|
||||
// 模型未下载，抛出错误让外层处理
|
||||
const error: any = new Error('MODEL_NOT_DOWNLOADED')
|
||||
error.requiresDownload = true
|
||||
error.sessionId = session.username
|
||||
error.messageId = String(message.localId)
|
||||
throw error
|
||||
}
|
||||
|
||||
voiceTranscriptRequestedRef.current = true
|
||||
setVoiceTranscriptLoading(true)
|
||||
setVoiceTranscriptError(false)
|
||||
@@ -1627,7 +1695,13 @@ function MessageBubble({ message, session, showTime, myAvatarUrl, isGroupChat }:
|
||||
setVoiceTranscriptError(true)
|
||||
voiceTranscriptRequestedRef.current = false
|
||||
}
|
||||
} catch {
|
||||
} catch (error: any) {
|
||||
// 检查是否是模型未下载错误
|
||||
if (error?.requiresDownload) {
|
||||
// 不显示错误状态，等待用户手动点击转文字按钮时会触发下载弹窗
|
||||
voiceTranscriptRequestedRef.current = false
|
||||
return
|
||||
}
|
||||
setVoiceTranscriptError(true)
|
||||
voiceTranscriptRequestedRef.current = false
|
||||
} finally {
|
||||
@@ -1635,13 +1709,23 @@ function MessageBubble({ message, session, showTime, myAvatarUrl, isGroupChat }:
|
||||
}
|
||||
}, [message.localId, session.username, voiceTranscriptCacheKey, voiceTranscriptLoading])
|
||||
|
||||
// 根据设置决定是否自动转写
|
||||
const [autoTranscribeEnabled, setAutoTranscribeEnabled] = useState(false)
|
||||
|
||||
useEffect(() => {
|
||||
window.electronAPI.config.get('autoTranscribeVoice').then((value) => {
|
||||
setAutoTranscribeEnabled(value === true)
|
||||
})
|
||||
}, [])
|
||||
|
||||
useEffect(() => {
|
||||
if (!autoTranscribeEnabled) return
|
||||
if (!isVoice) return
|
||||
if (!voiceDataUrl) return
|
||||
if (voiceTranscriptError) return
|
||||
if (voiceTranscriptLoading || voiceTranscript !== undefined || voiceTranscriptRequestedRef.current) return
|
||||
void requestVoiceTranscript()
|
||||
}, [isVoice, voiceDataUrl, voiceTranscript, voiceTranscriptError, voiceTranscriptLoading, requestVoiceTranscript])
|
||||
}, [autoTranscribeEnabled, isVoice, voiceDataUrl, voiceTranscript, voiceTranscriptError, voiceTranscriptLoading, requestVoiceTranscript])
|
||||
|
||||
if (isSystem) {
|
||||
return (
|
||||
@@ -1771,7 +1855,12 @@ function MessageBubble({ message, session, showTime, myAvatarUrl, isGroupChat }:
|
||||
setVoiceLoading(true)
|
||||
setVoiceError(false)
|
||||
try {
|
||||
const result = await window.electronAPI.chat.getVoiceData(session.username, String(message.localId))
|
||||
const result = await window.electronAPI.chat.getVoiceData(
|
||||
session.username,
|
||||
String(message.localId),
|
||||
message.createTime,
|
||||
message.serverId
|
||||
)
|
||||
if (result.success && result.data) {
|
||||
const url = `data:audio/wav;base64,${result.data}`
|
||||
voiceDataUrlCache.set(voiceCacheKey, url)
|
||||
@@ -1842,6 +1931,22 @@ function MessageBubble({ message, session, showTime, myAvatarUrl, isGroupChat }:
|
||||
{showDecryptHint && <span className="voice-hint">点击解密</span>}
|
||||
{voiceError && <span className="voice-error">播放失败</span>}
|
||||
</div>
|
||||
{/* 转文字按钮 */}
|
||||
{voiceDataUrl && !voiceTranscript && !voiceTranscriptLoading && (
|
||||
<button
|
||||
className="voice-transcribe-btn"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation()
|
||||
void requestVoiceTranscript()
|
||||
}}
|
||||
title="转文字"
|
||||
type="button"
|
||||
>
|
||||
<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2">
|
||||
<path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z" />
|
||||
</svg>
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
{showTranscript && (
|
||||
<div
|
||||
@@ -1849,7 +1954,16 @@ function MessageBubble({ message, session, showTime, myAvatarUrl, isGroupChat }:
|
||||
onClick={handleTranscriptRetry}
|
||||
title={voiceTranscriptError ? '点击重试语音转写' : undefined}
|
||||
>
|
||||
{transcriptDisplay}
|
||||
{voiceTranscriptError ? (
|
||||
'转写失败，点击重试'
|
||||
) : !voiceTranscript ? (
|
||||
voiceTranscriptLoading ? '转写中...' : '未识别到文字'
|
||||
) : (
|
||||
<AnimatedStreamingText
|
||||
text={transcriptText}
|
||||
loading={voiceTranscriptLoading}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
@@ -20,6 +20,7 @@ interface ExportOptions {
|
||||
exportImages: boolean
|
||||
exportVoices: boolean
|
||||
exportEmojis: boolean
|
||||
exportVoiceAsText: boolean
|
||||
}
|
||||
|
||||
interface ExportResult {
|
||||
@@ -54,7 +55,8 @@ function ExportPage() {
|
||||
exportMedia: false,
|
||||
exportImages: true,
|
||||
exportVoices: true,
|
||||
exportEmojis: true
|
||||
exportEmojis: true,
|
||||
exportVoiceAsText: false
|
||||
})
|
||||
|
||||
const loadSessions = useCallback(async () => {
|
||||
@@ -158,6 +160,7 @@ function ExportPage() {
|
||||
exportImages: options.exportMedia && options.exportImages,
|
||||
exportVoices: options.exportMedia && options.exportVoices,
|
||||
exportEmojis: options.exportMedia && options.exportEmojis,
|
||||
exportVoiceAsText: options.exportMedia && options.exportVoiceAsText,
|
||||
dateRange: options.useAllTime ? null : options.dateRange ? {
|
||||
start: Math.floor(options.dateRange.start.getTime() / 1000),
|
||||
// 将结束日期设置为当天的 23:59:59,以包含当天的所有消息
|
||||
@@ -372,9 +375,9 @@ function ExportPage() {
|
||||
<span className="slider"></span>
|
||||
</label>
|
||||
</div>
|
||||
|
||||
|
||||
<div className="media-option-divider"></div>
|
||||
|
||||
|
||||
<label className={`media-checkbox-row ${!options.exportMedia ? 'disabled' : ''}`}>
|
||||
<div className="media-checkbox-info">
|
||||
<span className="media-checkbox-title">图片</span>
|
||||
@@ -387,9 +390,9 @@ function ExportPage() {
|
||||
onChange={e => setOptions({ ...options, exportImages: e.target.checked })}
|
||||
/>
|
||||
</label>
|
||||
|
||||
|
||||
<div className="media-option-divider"></div>
|
||||
|
||||
|
||||
<label className={`media-checkbox-row ${!options.exportMedia ? 'disabled' : ''}`}>
|
||||
<div className="media-checkbox-info">
|
||||
<span className="media-checkbox-title">语音</span>
|
||||
@@ -402,9 +405,24 @@ function ExportPage() {
|
||||
onChange={e => setOptions({ ...options, exportVoices: e.target.checked })}
|
||||
/>
|
||||
</label>
|
||||
|
||||
|
||||
<div className="media-option-divider"></div>
|
||||
|
||||
|
||||
<label className={`media-checkbox-row ${!options.exportMedia ? 'disabled' : ''}`}>
|
||||
<div className="media-checkbox-info">
|
||||
<span className="media-checkbox-title">语音转文字</span>
|
||||
<span className="media-checkbox-desc">将语音消息转换为文字导出</span>
|
||||
</div>
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={options.exportVoiceAsText}
|
||||
disabled={!options.exportMedia}
|
||||
onChange={e => setOptions({ ...options, exportVoiceAsText: e.target.checked })}
|
||||
/>
|
||||
</label>
|
||||
|
||||
<div className="media-option-divider"></div>
|
||||
|
||||
<label className={`media-checkbox-row ${!options.exportMedia ? 'disabled' : ''}`}>
|
||||
<div className="media-checkbox-info">
|
||||
<span className="media-checkbox-title">表情</span>
|
||||
|
||||
@@ -13,19 +13,6 @@ import './SettingsPage.scss'
|
||||
|
||||
type SettingsTab = 'appearance' | 'database' | 'whisper' | 'cache' | 'about'
|
||||
|
||||
const whisperModels = [
|
||||
{ value: 'tiny', label: 'tiny (75 MB)' },
|
||||
{ value: 'base', label: 'base (142 MB)' },
|
||||
{ value: 'small', label: 'small (466 MB)' },
|
||||
{ value: 'medium', label: 'medium (1.5 GB)' },
|
||||
{ value: 'large-v3', label: 'large-v3 (2.9 GB)' }
|
||||
]
|
||||
|
||||
const whisperSources = [
|
||||
{ value: 'official', label: 'HuggingFace 官方' },
|
||||
{ value: 'tsinghua', label: '清华镜像 (hf-mirror)' }
|
||||
]
|
||||
|
||||
const tabs: { id: SettingsTab; label: string; icon: React.ElementType }[] = [
|
||||
{ id: 'appearance', label: '外观', icon: Palette },
|
||||
{ id: 'database', label: '数据库连接', icon: Database },
|
||||
@@ -57,10 +44,10 @@ function SettingsPage() {
|
||||
const [logEnabled, setLogEnabled] = useState(false)
|
||||
const [whisperModelName, setWhisperModelName] = useState('base')
|
||||
const [whisperModelDir, setWhisperModelDir] = useState('')
|
||||
const [whisperDownloadSource, setWhisperDownloadSource] = useState('tsinghua')
|
||||
const [isWhisperDownloading, setIsWhisperDownloading] = useState(false)
|
||||
const [whisperDownloadProgress, setWhisperDownloadProgress] = useState(0)
|
||||
const [whisperModelStatus, setWhisperModelStatus] = useState<{ exists: boolean; path?: string } | null>(null)
|
||||
const [whisperModelStatus, setWhisperModelStatus] = useState<{ exists: boolean; modelPath?: string; tokensPath?: string } | null>(null)
|
||||
const [autoTranscribeVoice, setAutoTranscribeVoice] = useState(false)
|
||||
|
||||
const [isLoading, setIsLoadingState] = useState(false)
|
||||
const [isTesting, setIsTesting] = useState(false)
|
||||
@@ -124,7 +111,7 @@ function SettingsPage() {
|
||||
const savedImageAesKey = await configService.getImageAesKey()
|
||||
const savedWhisperModelName = await configService.getWhisperModelName()
|
||||
const savedWhisperModelDir = await configService.getWhisperModelDir()
|
||||
const savedWhisperSource = await configService.getWhisperDownloadSource()
|
||||
const savedAutoTranscribe = await configService.getAutoTranscribeVoice()
|
||||
|
||||
if (savedKey) setDecryptKey(savedKey)
|
||||
if (savedPath) setDbPath(savedPath)
|
||||
@@ -135,9 +122,8 @@ function SettingsPage() {
|
||||
}
|
||||
if (savedImageAesKey) setImageAesKey(savedImageAesKey)
|
||||
setLogEnabled(savedLogEnabled)
|
||||
if (savedWhisperModelName) setWhisperModelName(savedWhisperModelName)
|
||||
setAutoTranscribeVoice(savedAutoTranscribe)
|
||||
if (savedWhisperModelDir) setWhisperModelDir(savedWhisperModelDir)
|
||||
if (savedWhisperSource) setWhisperDownloadSource(savedWhisperSource)
|
||||
} catch (e) {
|
||||
console.error('加载配置失败:', e)
|
||||
}
|
||||
@@ -145,14 +131,15 @@ function SettingsPage() {
|
||||
|
||||
|
||||
|
||||
const refreshWhisperStatus = async (modelNameValue = whisperModelName, modelDirValue = whisperModelDir) => {
|
||||
const refreshWhisperStatus = async (modelDirValue = whisperModelDir) => {
|
||||
try {
|
||||
const result = await window.electronAPI.whisper?.getModelStatus({
|
||||
modelName: modelNameValue,
|
||||
downloadDir: modelDirValue || undefined
|
||||
})
|
||||
const result = await window.electronAPI.whisper?.getModelStatus()
|
||||
if (result?.success) {
|
||||
setWhisperModelStatus({ exists: Boolean(result.exists), path: result.path })
|
||||
setWhisperModelStatus({
|
||||
exists: Boolean(result.exists),
|
||||
modelPath: result.modelPath,
|
||||
tokensPath: result.tokensPath
|
||||
})
|
||||
}
|
||||
} catch {
|
||||
setWhisperModelStatus(null)
|
||||
@@ -178,17 +165,16 @@ function SettingsPage() {
|
||||
|
||||
useEffect(() => {
|
||||
const removeListener = window.electronAPI.whisper?.onDownloadProgress?.((payload) => {
|
||||
if (payload.modelName !== whisperModelName) return
|
||||
if (typeof payload.percent === 'number') {
|
||||
setWhisperDownloadProgress(payload.percent)
|
||||
}
|
||||
})
|
||||
return () => removeListener?.()
|
||||
}, [whisperModelName])
|
||||
}, [])
|
||||
|
||||
useEffect(() => {
|
||||
void refreshWhisperStatus(whisperModelName, whisperModelDir)
|
||||
}, [whisperModelName, whisperModelDir])
|
||||
void refreshWhisperStatus(whisperModelDir)
|
||||
}, [whisperModelDir])
|
||||
|
||||
const handleCheckUpdate = async () => {
|
||||
setIsCheckingUpdate(true)
|
||||
@@ -331,30 +317,21 @@ function SettingsPage() {
|
||||
await configService.setWhisperModelName(value)
|
||||
}
|
||||
|
||||
const handleWhisperSourceChange = async (value: string) => {
|
||||
setWhisperDownloadSource(value)
|
||||
await configService.setWhisperDownloadSource(value)
|
||||
}
|
||||
|
||||
const handleDownloadWhisperModel = async () => {
|
||||
if (isWhisperDownloading) return
|
||||
setIsWhisperDownloading(true)
|
||||
setWhisperDownloadProgress(0)
|
||||
try {
|
||||
const result = await window.electronAPI.whisper.downloadModel({
|
||||
modelName: whisperModelName,
|
||||
downloadDir: whisperModelDir || undefined,
|
||||
source: whisperDownloadSource
|
||||
})
|
||||
const result = await window.electronAPI.whisper.downloadModel()
|
||||
if (result.success) {
|
||||
setWhisperDownloadProgress(100)
|
||||
showMessage('Whisper 模型下载完成', true)
|
||||
await refreshWhisperStatus(whisperModelName, whisperModelDir)
|
||||
showMessage('SenseVoiceSmall 模型下载完成', true)
|
||||
await refreshWhisperStatus(whisperModelDir)
|
||||
} else {
|
||||
showMessage(result.error || 'Whisper 模型下载失败', false)
|
||||
showMessage(result.error || '模型下载失败', false)
|
||||
}
|
||||
} catch (e) {
|
||||
showMessage(`Whisper 模型下载失败: ${e}`, false)
|
||||
showMessage(`模型下载失败: ${e}`, false)
|
||||
} finally {
|
||||
setIsWhisperDownloading(false)
|
||||
}
|
||||
@@ -475,9 +452,8 @@ function SettingsPage() {
|
||||
} else {
|
||||
await configService.setImageAesKey('')
|
||||
}
|
||||
await configService.setWhisperModelName(whisperModelName)
|
||||
await configService.setWhisperModelDir(whisperModelDir)
|
||||
await configService.setWhisperDownloadSource(whisperDownloadSource)
|
||||
await configService.setAutoTranscribeVoice(autoTranscribeVoice)
|
||||
await configService.setOnboardingDone(true)
|
||||
|
||||
showMessage('配置保存成功，正在测试连接...', true)
|
||||
@@ -513,9 +489,8 @@ function SettingsPage() {
|
||||
setWxid('')
|
||||
setCachePath('')
|
||||
setLogEnabled(false)
|
||||
setWhisperModelName('base')
|
||||
setAutoTranscribeVoice(false)
|
||||
setWhisperModelDir('')
|
||||
setWhisperDownloadSource('tsinghua')
|
||||
setWhisperModelStatus(null)
|
||||
setWhisperDownloadProgress(0)
|
||||
setIsWhisperDownloading(false)
|
||||
@@ -674,14 +649,14 @@ function SettingsPage() {
|
||||
<label>账号 wxid</label>
|
||||
<span className="form-hint">微信账号标识</span>
|
||||
<div className="wxid-input-wrapper" ref={wxidDropdownRef}>
|
||||
<input
|
||||
type="text"
|
||||
placeholder="例如: wxid_xxxxxx"
|
||||
value={wxid}
|
||||
onChange={(e) => setWxid(e.target.value)}
|
||||
<input
|
||||
type="text"
|
||||
placeholder="例如: wxid_xxxxxx"
|
||||
value={wxid}
|
||||
onChange={(e) => setWxid(e.target.value)}
|
||||
/>
|
||||
<button
|
||||
type="button"
|
||||
<button
|
||||
type="button"
|
||||
className={`wxid-dropdown-btn ${showWxidSelect ? 'open' : ''}`}
|
||||
onClick={() => wxidOptions.length > 0 ? setShowWxidSelect(!showWxidSelect) : handleScanWxid()}
|
||||
title={wxidOptions.length > 0 ? "选择已检测到的账号" : "扫描账号"}
|
||||
@@ -691,8 +666,8 @@ function SettingsPage() {
|
||||
{showWxidSelect && wxidOptions.length > 0 && (
|
||||
<div className="wxid-dropdown">
|
||||
{wxidOptions.map((opt) => (
|
||||
<div
|
||||
key={opt.wxid}
|
||||
<div
|
||||
key={opt.wxid}
|
||||
className={`wxid-option ${opt.wxid === wxid ? 'active' : ''}`}
|
||||
onClick={() => handleSelectWxid(opt.wxid)}
|
||||
>
|
||||
@@ -759,34 +734,31 @@ function SettingsPage() {
|
||||
)
|
||||
const renderWhisperTab = () => (
|
||||
<div className="tab-content">
|
||||
<p className="section-desc">语音解密后自动转写为文字</p>
|
||||
<div className="form-group whisper-section">
|
||||
<label>语音识别模型 (Whisper)</label>
|
||||
<span className="form-hint">语音解密后自动转文字，模型越大越准确但下载更慢</span>
|
||||
<div className="whisper-grid">
|
||||
<div className="whisper-field">
|
||||
<span className="field-label">模型</span>
|
||||
<select
|
||||
value={whisperModelName}
|
||||
onChange={(e) => handleWhisperModelChange(e.target.value)}
|
||||
>
|
||||
{whisperModels.map((model) => (
|
||||
<option key={model.value} value={model.value}>{model.label}</option>
|
||||
))}
|
||||
</select>
|
||||
</div>
|
||||
<div className="whisper-field">
|
||||
<span className="field-label">下载源</span>
|
||||
<select
|
||||
value={whisperDownloadSource}
|
||||
onChange={(e) => handleWhisperSourceChange(e.target.value)}
|
||||
>
|
||||
{whisperSources.map((source) => (
|
||||
<option key={source.value} value={source.value}>{source.label}</option>
|
||||
))}
|
||||
</select>
|
||||
</div>
|
||||
<div className="form-group">
|
||||
<label>自动语音转文字</label>
|
||||
<span className="form-hint">语音解密后自动转写为文字（需下载模型）</span>
|
||||
<div className="log-toggle-line">
|
||||
<span className="log-status">{autoTranscribeVoice ? '已开启' : '已关闭'}</span>
|
||||
<label className="switch" htmlFor="auto-transcribe-toggle">
|
||||
<input
|
||||
id="auto-transcribe-toggle"
|
||||
className="switch-input"
|
||||
type="checkbox"
|
||||
checked={autoTranscribeVoice}
|
||||
onChange={async (e) => {
|
||||
const enabled = e.target.checked
|
||||
setAutoTranscribeVoice(enabled)
|
||||
await configService.setAutoTranscribeVoice(enabled)
|
||||
showMessage(enabled ? '已开启自动转文字' : '已关闭自动转文字', true)
|
||||
}}
|
||||
/>
|
||||
<span className="switch-slider" />
|
||||
</label>
|
||||
</div>
|
||||
</div>
|
||||
<div className="form-group whisper-section">
|
||||
<label>语音识别模型 (SenseVoiceSmall)</label>
|
||||
<span className="form-hint">基于 Sherpa-onnx，支持中文、英文、日文、韩文</span>
|
||||
<span className="form-hint">模型下载目录</span>
|
||||
<input
|
||||
type="text"
|
||||
@@ -801,9 +773,9 @@ function SettingsPage() {
|
||||
</div>
|
||||
<div className="whisper-status-line">
|
||||
<span className={`status ${whisperModelStatus?.exists ? 'ok' : 'warn'}`}>
|
||||
{whisperModelStatus?.exists ? '已下载' : '未下载'}
|
||||
{whisperModelStatus?.exists ? '已下载 (240 MB)' : '未下载 (240 MB)'}
|
||||
</span>
|
||||
{whisperModelStatus?.path && <span className="path">{whisperModelStatus.path}</span>}
|
||||
{whisperModelStatus?.modelPath && <span className="path">{whisperModelStatus.modelPath}</span>}
|
||||
</div>
|
||||
{isWhisperDownloading ? (
|
||||
<div className="whisper-progress">
|
||||
@@ -917,8 +889,8 @@ function SettingsPage() {
|
||||
</div>
|
||||
<div className="wxid-dialog-list">
|
||||
{wxidOptions.map((opt) => (
|
||||
<div
|
||||
key={opt.wxid}
|
||||
<div
|
||||
key={opt.wxid}
|
||||
className={`wxid-dialog-item ${opt.wxid === wxid ? 'active' : ''}`}
|
||||
onClick={() => handleSelectWxid(opt.wxid)}
|
||||
>
|
||||
|
||||
@@ -20,7 +20,8 @@ export const CONFIG_KEYS = {
|
||||
IMAGE_AES_KEY: 'imageAesKey',
|
||||
WHISPER_MODEL_NAME: 'whisperModelName',
|
||||
WHISPER_MODEL_DIR: 'whisperModelDir',
|
||||
WHISPER_DOWNLOAD_SOURCE: 'whisperDownloadSource'
|
||||
WHISPER_DOWNLOAD_SOURCE: 'whisperDownloadSource',
|
||||
AUTO_TRANSCRIBE_VOICE: 'autoTranscribeVoice'
|
||||
} as const
|
||||
|
||||
// 获取解密密钥
|
||||
@@ -218,3 +219,14 @@ export async function getOnboardingDone(): Promise<boolean> {
|
||||
export async function setOnboardingDone(done: boolean): Promise<void> {
|
||||
await config.set(CONFIG_KEYS.ONBOARDING_DONE, done)
|
||||
}
|
||||
|
||||
// 获取自动语音转文字开关
|
||||
export async function getAutoTranscribeVoice(): Promise<boolean> {
|
||||
const value = await config.get(CONFIG_KEYS.AUTO_TRANSCRIBE_VOICE)
|
||||
return value === true
|
||||
}
|
||||
|
||||
// 设置自动语音转文字开关
|
||||
export async function setAutoTranscribeVoice(enabled: boolean): Promise<void> {
|
||||
await config.set(CONFIG_KEYS.AUTO_TRANSCRIBE_VOICE, enabled)
|
||||
}
|
||||
|
||||
7
src/types/electron.d.ts
vendored
7
src/types/electron.d.ts
vendored
@@ -94,8 +94,9 @@ export interface ElectronAPI {
|
||||
error?: string
|
||||
}>
|
||||
getImageData: (sessionId: string, msgId: string) => Promise<{ success: boolean; data?: string; error?: string }>
|
||||
getVoiceData: (sessionId: string, msgId: string) => Promise<{ success: boolean; data?: string; error?: string }>
|
||||
getVoiceData: (sessionId: string, msgId: string, createTime?: number, serverId?: string | number) => Promise<{ success: boolean; data?: string; error?: string }>
|
||||
getVoiceTranscript: (sessionId: string, msgId: string) => Promise<{ success: boolean; transcript?: string; error?: string }>
|
||||
onVoiceTranscriptPartial: (callback: (payload: { msgId: string; text: string }) => void) => () => void
|
||||
}
|
||||
|
||||
image: {
|
||||
@@ -297,8 +298,8 @@ export interface ElectronAPI {
|
||||
}>
|
||||
}
|
||||
whisper: {
|
||||
downloadModel: (payload: { modelName: string; downloadDir?: string; source?: string }) => Promise<{ success: boolean; path?: string; error?: string }>
|
||||
getModelStatus: (payload: { modelName: string; downloadDir?: string }) => Promise<{ success: boolean; exists?: boolean; path?: string; sizeBytes?: number; error?: string }>
|
||||
downloadModel: () => Promise<{ success: boolean; modelPath?: string; tokensPath?: string; error?: string }>
|
||||
getModelStatus: () => Promise<{ success: boolean; exists?: boolean; modelPath?: string; tokensPath?: string; sizeBytes?: number; error?: string }>
|
||||
onDownloadProgress: (callback: (payload: { modelName: string; downloadedBytes: number; totalBytes?: number; percent?: number }) => void) => () => void
|
||||
}
|
||||
}
|
||||
|
||||
@@ -89,6 +89,23 @@ export default defineConfig({
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
entry: 'electron/transcribeWorker.ts',
|
||||
vite: {
|
||||
build: {
|
||||
outDir: 'dist-electron',
|
||||
rollupOptions: {
|
||||
external: [
|
||||
'sherpa-onnx-node'
|
||||
],
|
||||
output: {
|
||||
entryFileNames: 'transcribeWorker.js',
|
||||
inlineDynamicImports: true
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
entry: 'electron/preload.ts',
|
||||
onstart(options) {
|
||||
|
||||
Reference in New Issue
Block a user