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happy-life-star/docs/superpowers/plans/2026-05-21-mini-program-asr-service.md
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peanut 89fc42819d feat: AI 场景路由、ASR 服务及前后端全链路同步 
- 新增 AI 场景路由控制器和管理接口
- 新增 ASR 语音识别服务及前后端集成
- 同步 AI Runtime 客户端到 Web/小程序/Life-Script
- 完善 AI 配置测试修复和管理后台路由配置
- 新增数据库迁移脚本

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-23 13:25:21 +08:00

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Mini Program ASR Service Implementation Plan

For agentic workers: REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (- [ ]) syntax for tracking.

Goal: Deploy a private Chinese ASR service on 101.200.208.45 and wire the mini program voice orb to transcribe speech into the wish input.

Architecture: A local FastAPI ASR service listens on 127.0.0.1:19120 and uses FunASR/SenseVoiceSmall when available. The Java backend exposes /api/asr/transcribe as the authenticated upload proxy, and the mini program records audio with uni.getRecorderManager() then uploads it through the existing request service.

Tech Stack: FunASR/SenseVoiceSmall, Python 3.11, FastAPI, Spring Boot multipart upload, uni-app recorder/upload APIs.

Task 1: ASR Service

Files:

  • Create: backend-single/asr-service/app.py

  • Create: backend-single/asr-service/requirements.txt

  • Create: backend-single/asr-service/emotion-museum-asr.service

  • Create: backend-single/asr-service/README.md

  • Add a FastAPI service with /health and /transcribe.

  • Accept an uploaded audio file, save it under /tmp/emotion-museum-asr, run the ASR model, and return JSON with success, text, language, durationMs, engine, and errorMessage.

  • Keep the service bound to 127.0.0.1:19120.

Task 2: Java Backend Proxy

Files:

  • Create: backend-single/src/main/java/com/emotion/dto/response/asr/AsrTranscribeResponse.java

  • Create: backend-single/src/main/java/com/emotion/service/AsrService.java

  • Create: backend-single/src/main/java/com/emotion/service/impl/AsrServiceImpl.java

  • Create: backend-single/src/main/java/com/emotion/controller/AsrController.java

  • Modify: backend-single/src/main/resources/application.yml

  • Modify: backend-single/src/main/resources/application-prod.yml

  • Add emotion.asr config for enabled, engine-url, max-file-size, and allowed-types.

  • Validate upload presence, size, and suffix.

  • Forward multipart audio to the local ASR service.

  • Return a normal Result<AsrTranscribeResponse> to the mini program.

Task 3: Mini Program Recording

Files:

  • Create: mini-program/src/services/asr.js

  • Modify: mini-program/src/pages/main/ScriptView.vue

  • Use uni.getRecorderManager() to start recording on press.

  • Stop recording on release/cancel.

  • Upload the recorded temp file to /asr/transcribe.

  • Fill wishText with recognized text and keep the current visual theme.

  • Track success/failure analytics.

Task 4: Deploy And Verify

Commands:

  • npm run build:mp-weixin
  • mvn -DskipTests package
  • Deploy backend jar to 101.200.208.45.
  • Install/start emotion-museum-asr.
  • Check curl http://127.0.0.1:19120/health.

Acceptance:

  • Pressing and releasing the mini program voice orb sends audio to backend ASR.
  • Recognized Chinese text appears in the wish input.
  • Server ASR and TTS services both remain active.
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