fix: 清理导出服务日志并简化whisper接口参数

- 移除exportService中的冗余console日志输出
- 简化whisper API接口，移除downloadModel和getModelStatus的payload参数
- 清理图片、表情、语音导出过程中的调试日志
- 移除数据库查询和媒体处理中的详细日志记录
- 优化代码可读性，减少控制台输出噪音

electron/preload.ts

@@ -184,10 +184,10 @@ contextBridge.exposeInMainWorld('electronAPI', {
   },
 
   whisper: {
-    downloadModel: (payload: { modelName: string; downloadDir?: string; source?: string }) =>
+    downloadModel: () =>
-      ipcRenderer.invoke('whisper:downloadModel', payload),
+      ipcRenderer.invoke('whisper:downloadModel'),
-    getModelStatus: (payload: { modelName: string; downloadDir?: string }) =>
+    getModelStatus: () =>
-      ipcRenderer.invoke('whisper:getModelStatus', payload),
+      ipcRenderer.invoke('whisper:getModelStatus'),
     onDownloadProgress: (callback: (payload: { modelName: string; downloadedBytes: number; totalBytes?: number; percent?: number }) => void) => {
       ipcRenderer.on('whisper:downloadProgress', (_, payload) => callback(payload))
       return () => ipcRenderer.removeAllListeners('whisper:downloadProgress')

electron/services/exportService.ts

@@ -1,4 +1,4 @@
-import * as fs from 'fs'
+import * as fs from 'fs'
 import * as path from 'path'
 import * as http from 'http'
 import * as https from 'https'
@@ -364,7 +364,6 @@ class ExportService {
 
       return `[${callType}]`
     } catch (e) {
-      console.error('[ExportService] Failed to parse VOIP message:', e)
       return '[通话]'
     }
   }
@@ -417,7 +416,6 @@ class ExportService {
     if (localType === 3 && options.exportImages) {
       const result = await this.exportImage(msg, sessionId, mediaDir)
       if (result) {
-        console.log('[ExportService] 图片导出成功:', result.relativePath)
         }
       return result
     }
@@ -438,7 +436,6 @@ class ExportService {
     if (localType === 47 && options.exportEmojis) {
       const result = await this.exportEmoji(msg, sessionId, mediaDir)
       if (result) {
-        console.log('[ExportService] 表情导出成功:', result.relativePath)
         }
       return result
     }
@@ -461,12 +458,9 @@ class ExportService {
       const imageDatName = msg.imageDatName
 
       if (!imageMd5 && !imageDatName) {
-        console.log('[ExportService] 图片消息缺少 md5 和 datName:', msg.localId)
         return null
       }
 
-      console.log('[ExportService] 导出图片:', { localId: msg.localId, imageMd5, imageDatName, sessionId })
-
       const result = await imageDecryptService.decryptImage({
         sessionId,
         imageMd5,
@@ -524,7 +518,6 @@ class ExportService {
 
       return null
     } catch (e) {
-      console.error('[ExportService] 导出图片失败:', e)
       return null
     }
   }
@@ -545,19 +538,15 @@ class ExportService {
 
       // 如果已存在则跳过
       if (fs.existsSync(destPath)) {
-        console.log('[ExportService] 语音已存在:', destPath)
         return {
           relativePath: `media/voices/${fileName}`,
           kind: 'voice'
         }
       }
 
-      console.log('[ExportService] 导出语音:', { localId: msg.localId, sessionId })
-
       // 调用 chatService 获取语音数据
       const voiceResult = await chatService.getVoiceData(sessionId, msgId)
       if (!voiceResult.success || !voiceResult.data) {
-        console.log('[ExportService] 获取语音数据失败:', voiceResult.error)
         return null
       }
 
@@ -565,13 +554,11 @@ class ExportService {
       const wavBuffer = Buffer.from(voiceResult.data, 'base64')
       fs.writeFileSync(destPath, wavBuffer)
 
-      console.log('[ExportService] 语音导出成功:', destPath)
       return {
         relativePath: `media/voices/${fileName}`,
         kind: 'voice'
       }
     } catch (e) {
-      console.error('[ExportService] 导出语音失败:', e)
       return null
     }
   }
@@ -587,7 +574,6 @@ class ExportService {
       }
       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]'
     }
   }
@@ -625,7 +611,6 @@ class ExportService {
 
       // 如果已存在则跳过
       if (fs.existsSync(destPath)) {
-        console.log('[ExportService] 表情已存在:', destPath)
         return {
           relativePath: `media/emojis/${fileName}`,
           kind: 'emoji'
@@ -634,22 +619,18 @@ class ExportService {
 
       // 下载表情
       if (emojiUrl) {
-        console.log('[ExportService] 开始下载表情:', emojiUrl)
         const downloaded = await this.downloadFile(emojiUrl, destPath)
         if (downloaded) {
-          console.log('[ExportService] 表情下载成功:', destPath)
           return {
             relativePath: `media/emojis/${fileName}`,
             kind: 'emoji'
           }
         } else {
-          console.log('[ExportService] 表情下载失败:', emojiUrl)
           }
       }
 
       return null
     } catch (e) {
-      console.error('[ExportService] 导出表情失败:', e)
       return null
     }
   }
@@ -823,12 +804,10 @@ class ExportService {
             // 图片消息
             imageMd5 = this.extractImageMd5(content)
             imageDatName = this.extractImageDatName(content)
-            console.log('[ExportService] 提取图片字段:', { localId, imageMd5, imageDatName })
             } else if (localType === 47 && content) {
             // 动画表情
             emojiCdnUrl = this.extractEmojiUrl(content)
             emojiMd5 = this.extractEmojiMd5(content)
-            console.log('[ExportService] 提取表情字段:', { localId, emojiMd5, emojiCdnUrl: emojiCdnUrl?.substring(0, 100) })
             }
 
           rows.push({
@@ -1233,7 +1212,6 @@ class ExportService {
 
       return { success: true }
     } catch (e) {
-      console.error('ExportService: 导出失败:', e)
       return { success: false, error: String(e) }
     }
   }
@@ -1348,7 +1326,6 @@ class ExportService {
 
       return { success: true }
     } catch (e) {
-      console.error('ExportService: 导出失败:', e)
       return { success: false, error: String(e) }
     }
   }
@@ -1570,13 +1547,6 @@ class ExportService {
 
         // 调试日志
         if (msg.localType === 3 || msg.localType === 47) {
-          console.log('[ExportService] 媒体消息填充表格:', {
-            localId: msg.localId,
-            localType: msg.localType,
-            hasMediaItem: !!mediaItem,
-            mediaRelativePath: mediaItem?.relativePath,
-            contentValue: contentValue?.substring(0, 100)
-          })
           }
 
         worksheet.getCell(currentRow, 1).value = i + 1
@@ -1628,8 +1598,6 @@ 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')) {
@@ -1721,3 +1689,4 @@ class ExportService {
 }
 
 export const exportService = new ExportService()
+

electron/services/voiceTranscribeService.ts

@@ -1,4 +1,4 @@
-import { app } from 'electron'
+import { app } from 'electron'
 import { existsSync, mkdirSync, statSync, unlinkSync, createWriteStream } from 'fs'
 import { join } from 'path'
 import * as https from 'https'
@@ -98,7 +98,6 @@ export class VoiceTranscribeService {
         sizeBytes: totalSize
       }
     } catch (error) {
-      console.error('[VoiceTranscribe] getModelStatus error:', error)
       return { success: false, error: String(error) }
     }
   }
@@ -125,7 +124,6 @@ export class VoiceTranscribeService {
         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,
@@ -142,7 +140,6 @@ export class VoiceTranscribeService {
         )
 
         // 下载 tokens 文件 (30%)
-        console.info('[VoiceTranscribe] 开始下载 tokens 文件...')
         await this.downloadToFile(
           MODEL_DOWNLOAD_URLS.tokens,
           tokensPath,
@@ -160,7 +157,6 @@ export class VoiceTranscribeService {
         )
 
         // 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,
@@ -178,10 +174,8 @@ export class VoiceTranscribeService {
           }
         )
 
-        console.info('[VoiceTranscribe] 模型下载完成')
         return { success: true, modelPath, tokensPath }
       } catch (error) {
-        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)
@@ -221,8 +215,6 @@ export class VoiceTranscribeService {
         // main.js 和 transcribeWorker.js 同在 dist-electron 目录下
         const workerPath = join(__dirname, 'transcribeWorker.js')
 
-        console.info('[VoiceTranscribe] 启动后台 Worker 转写...', { workerPath })
-
         const worker = new Worker(workerPath, {
           workerData: {
             modelPath,
@@ -248,7 +240,6 @@ export class VoiceTranscribeService {
         })
 
         worker.on('error', (err: Error) => {
-          console.error('[VoiceTranscribe] Worker error:', err)
           resolve({ success: false, error: String(err) })
         })
 
@@ -260,7 +251,6 @@ export class VoiceTranscribeService {
         })
 
       } catch (error) {
-        console.error('[VoiceTranscribe] 启动 Worker 失败:', error)
         resolve({ success: false, error: String(error) })
       }
     })
@@ -350,10 +340,10 @@ export class VoiceTranscribeService {
         // 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()
+

electron/services/wcdbService.ts

@@ -58,11 +58,13 @@ export class WcdbService {
       })
 
       this.worker.on('error', (err) => {
-        console.error('WCDB Worker 错误:', err)
+        // Worker error
       })
 
       this.worker.on('exit', (code) => {
-        if (code !== 0) console.error(`WCDB Worker 异常退出，退出码: ${code}`)
+        if (code !== 0) {
+          // Worker exited with error
+        }
         this.worker = null
       })
 
@@ -73,7 +75,7 @@ export class WcdbService {
       this.setLogEnabled(this.logEnabled)
 
     } catch (e) {
-      console.error('创建 WCDB Worker 失败:', e)
+      // Failed to create worker
     }
   }
 
@@ -97,7 +99,7 @@ export class WcdbService {
   setPaths(resourcesPath: string, userDataPath: string): void {
     this.resourcesPath = resourcesPath
     this.userDataPath = userDataPath
-    this.callWorker('setPaths', { resourcesPath, userDataPath }).catch(console.error)
+    this.callWorker('setPaths', { resourcesPath, userDataPath }).catch(() => {})
   }
 
   /**
@@ -105,7 +107,7 @@ export class WcdbService {
    */
   setLogEnabled(enabled: boolean): void {
     this.logEnabled = enabled
-    this.callWorker('setLogEnabled', { enabled }).catch(console.error)
+    this.callWorker('setLogEnabled', { enabled }).catch(() => {})
   }
 
   /**

electron/transcribeWorker.ts

@@ -1,4 +1,4 @@
-import { parentPort, workerData } from 'worker_threads'
+import { parentPort, workerData } from 'worker_threads'
 import * as fs from 'fs'
 
 interface WorkerParams {
@@ -9,37 +9,23 @@ interface WorkerParams {
 }
 
 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: {
@@ -52,12 +38,8 @@ async function run() {
             }
         }
         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,
@@ -73,8 +55,6 @@ async function run() {
 
         // 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++) {
@@ -86,15 +66,11 @@ async function run() {
             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)
@@ -107,7 +83,6 @@ async function run() {
         let offset = 0
         let accumulatedText = ''
 
-        console.info('[TranscribeWorker] Starting processing loop...');
         let segmentCount = 0;
 
         while (offset < samples.length) {
@@ -120,9 +95,6 @@ async function run() {
             while (!vad.isEmpty()) {
                 const segment = vad.front(false)
 
-                // Log segment detection
-                console.info(`[TranscribeWorker] VAD Segment detected. Duration: ${segment.samples.length / sampleRate}s`);
-
                 const stream = recognizer.createStream()
                 stream.acceptWaveform({ sampleRate, samples: segment.samples })
                 recognizer.decode(stream)
@@ -133,7 +105,6 @@ async function run() {
                     if (text.length > 0) {
                         accumulatedText += (accumulatedText ? ' ' : '') + text
                         segmentCount++;
-                        console.info(`[TranscribeWorker] Partial update #${segmentCount}: "${text}" -> Total: "${accumulatedText.substring(0, 50)}..."`);
                         parentPort.postMessage({ type: 'partial', text: accumulatedText })
                     }
                 }
@@ -149,26 +120,23 @@ async function run() {
         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();
+

package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "weflow",
-  "version": "1.1.2",
+  "version": "1.2.0",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "weflow",
-      "version": "1.1.2",
+      "version": "1.2.0",
       "hasInstallScript": true,
       "dependencies": {
         "better-sqlite3": "^12.5.0",

src/pages/ChatPage.scss

@@ -1412,7 +1412,7 @@
 
 .voice-transcript.sent {
   background: rgba(255, 255, 255, 0.9);
-  color: var(--text-primary);
+  color: #333333;
   border-color: transparent;
 }
 

src/pages/ExportPage.tsx

@@ -160,7 +160,7 @@ function ExportPage() {
         exportImages: options.exportMedia && options.exportImages,
         exportVoices: options.exportMedia && options.exportVoices,
         exportEmojis: options.exportMedia && options.exportEmojis,
-        exportVoiceAsText: options.exportMedia && options.exportVoiceAsText,
+        exportVoiceAsText: options.exportVoiceAsText,  // 独立于 exportMedia
         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
@@ -444,15 +444,14 @@ function ExportPage() {
 
               <div className="media-option-divider"></div>
 
-              <label className={`media-checkbox-row ${!options.exportMedia ? 'disabled' : ''}`}>
+              <label className="media-checkbox-row">
                 <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>
+                  <span className="media-checkbox-desc">将语音消息转换为文字导出（不导出语音文件）</span>
                 </div>
                 <input
                   type="checkbox"
                   checked={options.exportVoiceAsText}
-                  disabled={!options.exportMedia}
                   onChange={e => setOptions({ ...options, exportVoiceAsText: e.target.checked })}
                 />
               </label>

vite.config.ts

@@ -32,7 +32,8 @@ export default defineConfig({
                 'koffi',
                 'fsevents',
                 'whisper-node',
-                'shelljs'
+                'shelljs',
+                'exceljs'
               ]
             }
           }