48354e634b
前端: - recorder.onError 时重置 recorder = null,避免错误后录音永久失效 - 增加 asrLoading 状态,ASR 处理中输入框 disabled 并显示'语音识别中...' - 增加 skipAsr 标志,<1s 的录音跳过 ASR 上传 - uploadFile 增加 30s timeout 后端: - ASR: OpenAI 失败后 fallback 到本地 whisper,日志级别降为 warn - try/catch/finally 重构,确保临时文件在所有路径都清理 - OpenAI 和 whisper 结果分别 try,互不影响
107 lines
4.2 KiB
TypeScript
107 lines
4.2 KiB
TypeScript
import { Controller, Get, Post, Body, Param, Res, HttpException, HttpStatus, UseGuards, UploadedFile, UseInterceptors, Logger } from '@nestjs/common'
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import { FileInterceptor } from '@nestjs/platform-express'
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import { Response } from 'express'
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import * as fs from 'fs'
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import * as path from 'path'
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import { execSync } from 'child_process'
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import { TtsService } from './tts.service'
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import { JwtAuthGuard } from '../../common/guards/jwt-auth.guard'
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import { Public } from '../../common/decorators/public.decorator'
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@Controller('tts')
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export class TtsController {
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private readonly logger = new Logger(TtsController.name)
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constructor(private ttsService: TtsService) {}
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@UseGuards(JwtAuthGuard)
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@Post('synthesize')
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async synthesize(@Body('text') text: string, @Body('voice') voice?: string) {
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if (!text || text.length > 500) {
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throw new HttpException('文本不能为空且不超过500字', HttpStatus.BAD_REQUEST)
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}
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const result = await this.ttsService.synthesize(text, voice)
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return { hash: result.hash, durationMs: result.durationMs, amplitudeData: result.amplitudeData }
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}
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@Public()
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@Get('audio/:hash')
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async getAudio(@Param('hash') hash: string, @Res() res: Response) {
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const filePath = this.ttsService.getCachedPath(hash)
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if (!filePath) {
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throw new HttpException('音频不存在', HttpStatus.NOT_FOUND)
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}
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const stream = fs.createReadStream(filePath)
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res.setHeader('Content-Type', 'audio/mpeg')
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res.setHeader('Cache-Control', 'public, max-age=31536000')
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stream.pipe(res)
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}
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@UseGuards(JwtAuthGuard)
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@Post('asr')
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@UseInterceptors(FileInterceptor('audio', { dest: '/tmp/asr_uploads' }))
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async recognize(@UploadedFile() file: any) {
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if (!file) throw new HttpException('请上传音频文件', HttpStatus.BAD_REQUEST)
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const uploadDir = '/tmp/asr_uploads'
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if (!fs.existsSync(uploadDir)) fs.mkdirSync(uploadDir, { recursive: true })
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const ext = file.originalname ? path.extname(file.originalname) || '.aac' : '.aac'
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const dest = path.join(uploadDir, file.filename + ext)
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fs.renameSync(file.path, dest)
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// 拒绝损坏/空音频文件,避免 whisper 调用 ffmpeg 解码失败刷错误日志
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const stat = fs.statSync(dest)
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if (!stat.size || stat.size < 500) {
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this.logger.warn(`ASR: empty audio upload (size=${stat.size}), ext=${ext}`)
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try { fs.unlinkSync(dest) } catch {}
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return { text: '' }
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}
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let wavPath = dest
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if (ext.toLowerCase() !== '.wav') {
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const potentialWav = dest.replace(/\.[^.]+$/, '.wav')
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try {
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execSync(`ffmpeg -y -i "${dest}" -ar 16000 -ac 1 -c:a pcm_s16le "${potentialWav}"`, {
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timeout: 30000, encoding: 'utf8', stdio: 'pipe',
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})
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wavPath = potentialWav
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} catch (e: any) {
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this.logger.warn(`FFmpeg conversion failed: ${e.message}, using original format`)
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}
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}
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try {
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let text = ''
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if (process.env.OPENAI_API_KEY) {
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try {
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const result = execSync(
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`curl -s -X POST https://api.openai.com/v1/audio/transcriptions \
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-H "Authorization: Bearer ${process.env.OPENAI_API_KEY}" \
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-H "Content-Type: multipart/form-data" \
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-F "file=@${wavPath}" \
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-F "model=whisper-1" \
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-F "language=zh"`,
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{ encoding: 'utf8', timeout: 30000 },
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)
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const parsed = JSON.parse(result)
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if (parsed.text) text = parsed.text.trim()
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} catch (e: any) {
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this.logger.warn(`OpenAI ASR failed, falling back to local: ${e.message}`)
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}
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}
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if (!text) {
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const whisperResult = execSync(
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`python3 -c 'import sys, whisper; model = whisper.load_model("tiny"); print(model.transcribe(sys.argv[1], language="zh")["text"].strip())' "${wavPath}"`,
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{ encoding: 'utf8', timeout: 60000 },
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)
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if (whisperResult?.trim()) text = whisperResult.trim()
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}
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return { text }
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} catch (e: any) {
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this.logger.error(`ASR failed: ${e?.message || e}`)
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return { text: '' }
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} finally {
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try { if (dest) fs.unlinkSync(dest) } catch {}
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try { if (wavPath && wavPath !== dest) fs.unlinkSync(wavPath) } catch {}
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}
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}
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}
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