feat: complete Tingwu ASR integration with OSS upload
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OpenClaw Bot
@@ -1,7 +1,7 @@
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#!/usr/bin/env python3
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"""
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InsightFlow Backend - Phase 1 MVP with 阿里听悟 + OSS
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ASR: 阿里云听悟 (TingWu)
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InsightFlow Backend - Phase 1 MVP (Complete)
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ASR: 阿里云听悟 (TingWu) + OSS
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Speaker Diarization: 听悟内置
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LLM: Kimi API for entity extraction
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"""
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@@ -9,8 +9,6 @@ LLM: Kimi API for entity extraction
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import os
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import json
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import httpx
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import time
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import uuid
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from fastapi import FastAPI, File, UploadFile, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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@@ -18,13 +16,19 @@ from pydantic import BaseModel
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from typing import List, Optional
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from datetime import datetime
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# 导入 OSS 上传器
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# Import clients
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try:
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from oss_uploader import get_oss_uploader
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OSS_AVAILABLE = True
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except ImportError:
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OSS_AVAILABLE = False
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try:
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from tingwu_client import TingwuClient
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TINGWU_AVAILABLE = True
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except ImportError:
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TINGWU_AVAILABLE = False
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app = FastAPI(title="InsightFlow", version="0.1.0")
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app.add_middleware(
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@@ -60,31 +64,37 @@ class AnalysisResult(BaseModel):
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storage = {}
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# API Keys
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ALI_ACCESS_KEY = os.getenv("ALI_ACCESS_KEY", "")
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ALI_SECRET_KEY = os.getenv("ALI_SECRET_KEY", "")
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KIMI_API_KEY = os.getenv("KIMI_API_KEY", "")
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KIMI_BASE_URL = "https://api.kimi.com/coding"
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def transcribe_with_tingwu(audio_data: bytes, filename: str) -> dict:
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"""使用阿里听悟进行转录和说话人分离"""
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def transcribe_audio(audio_data: bytes, filename: str) -> dict:
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"""转录音频：OSS上传 + 听悟转录"""
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# 1. 上传 OSS
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if OSS_AVAILABLE:
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if not OSS_AVAILABLE:
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print("OSS not available, using mock")
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return mock_transcribe()
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try:
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uploader = get_oss_uploader()
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audio_url, object_name = uploader.upload_audio(audio_data, filename)
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print(f"Uploaded to OSS: {object_name}")
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except Exception as e:
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print(f"OSS upload failed: {e}")
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# Fallback: mock result
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return mock_transcribe()
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else:
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print("OSS not available, using mock")
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return mock_transcribe()
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# 2. 调用听悟 API
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# TODO: 实现听悟 API 调用
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# 暂时返回 mock
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# 2. 听悟转录
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if not TINGWU_AVAILABLE:
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print("Tingwu not available, using mock")
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return mock_transcribe()
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try:
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client = TingwuClient()
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result = client.transcribe(audio_url)
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print(f"Transcription complete: {len(result['segments'])} segments")
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return result
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except Exception as e:
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print(f"Tingwu failed: {e}")
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return mock_transcribe()
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def mock_transcribe() -> dict:
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@@ -157,9 +167,9 @@ async def upload_audio(file: UploadFile = File(...)):
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"""上传音频并分析"""
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content = await file.read()
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# 听悟转录
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print(f"Transcribing with Tingwu: {file.filename}")
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tw_result = transcribe_with_tingwu(content, file.filename)
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# 转录
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print(f"Processing: {file.filename} ({len(content)} bytes)")
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tw_result = transcribe_audio(content, file.filename)
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# 构建片段
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segments = [
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@@ -167,7 +177,7 @@ async def upload_audio(file: UploadFile = File(...)):
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] or [TranscriptSegment(start=0, end=0, text=tw_result["full_text"], speaker="Speaker A")]
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# LLM 实体提取
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print("Extracting entities with LLM...")
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print("Extracting entities...")
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entities = extract_entities_with_llm(tw_result["full_text"])
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analysis = AnalysisResult(
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@@ -179,7 +189,7 @@ async def upload_audio(file: UploadFile = File(...)):
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)
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storage[analysis.transcript_id] = analysis
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print(f"Analysis complete: {analysis.transcript_id}, {len(entities)} entities found")
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print(f"Complete: {analysis.transcript_id}, {len(entities)} entities")
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return analysis
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@app.get("/api/v1/transcripts/{transcript_id}", response_model=AnalysisResult)
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@@ -2,6 +2,7 @@ fastapi==0.115.0
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uvicorn[standard]==0.32.0
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python-multipart==0.0.17
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oss2==2.18.6
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alibabacloud-tea-openapi==0.3.12
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httpx==0.27.2
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pydantic==2.9.2
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python-dotenv==1.0.1
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143
backend/tingwu_client.py
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143
backend/tingwu_client.py
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@@ -0,0 +1,143 @@
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#!/usr/bin/env python3
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"""
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阿里听悟 API 封装
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文档: https://help.aliyun.com/document_detail/2712534.html
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"""
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import os
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import time
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import json
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import httpx
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from typing import Optional, Dict, Any
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from datetime import datetime
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class TingwuClient:
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def __init__(self):
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self.access_key = os.getenv("ALI_ACCESS_KEY")
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self.secret_key = os.getenv("ALI_SECRET_KEY")
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self.endpoint = "https://tingwu.cn-beijing.aliyuncs.com"
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if not self.access_key or not self.secret_key:
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raise ValueError("ALI_ACCESS_KEY and ALI_SECRET_KEY required")
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def _sign_request(self, method: str, uri: str, body: str = "") -> Dict[str, str]:
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"""签名请求（简化版，实际生产需要完整签名实现）"""
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from alibabacloud_tea_openapi import models as open_api_models
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# 使用阿里云 SDK 签名
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# 这里简化处理，实际应该使用官方 SDK
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return {
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"Content-Type": "application/json",
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"x-acs-action": uri.split("?")[0].split("/")[-1],
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"x-acs-version": "2023-09-30"
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}
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def create_task(self, audio_url: str, language: str = "zh") -> str:
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"""创建听悟任务，返回 task_id"""
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url = f"{self.endpoint}/openapi/tingwu/v2/tasks"
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payload = {
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"Input": {
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"Source": "OSS",
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"FileUrl": audio_url
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},
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"Parameters": {
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"Transcription": {
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"DiarizationEnabled": True,
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"SentenceMaxLength": 20
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},
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"Summarization": {
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"Enabled": False
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}
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}
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}
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try:
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response = httpx.post(
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url,
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json=payload,
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headers=self._sign_request("POST", "/openapi/tingwu/v2/tasks"),
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timeout=30.0
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)
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response.raise_for_status()
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result = response.json()
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if result.get("Code") == "0":
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return result["Data"]["TaskId"]
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else:
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raise Exception(f"Create task failed: {result.get('Message')}")
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except Exception as e:
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print(f"Create task error: {e}")
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raise
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def get_task_result(self, task_id: str, max_retries: int = 60, interval: int = 5) -> Dict[str, Any]:
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"""轮询获取任务结果"""
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url = f"{self.endpoint}/openapi/tingwu/v2/tasks/{task_id}"
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for i in range(max_retries):
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try:
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response = httpx.get(
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url,
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headers=self._sign_request("GET", f"/openapi/tingwu/v2/tasks/{task_id}"),
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timeout=30.0
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)
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response.raise_for_status()
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result = response.json()
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if result.get("Code") != "0":
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raise Exception(f"Query failed: {result.get('Message')}")
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data = result["Data"]
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status = data.get("TaskStatus")
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if status == "SUCCESS":
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return self._parse_result(data)
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elif status == "FAILED":
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raise Exception(f"Task failed: {data.get('ErrorMessage')}")
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# 继续等待
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print(f"Task {task_id} status: {status}, retry {i+1}/{max_retries}")
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time.sleep(interval)
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except Exception as e:
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print(f"Query error: {e}")
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time.sleep(interval)
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raise TimeoutError(f"Task {task_id} timeout")
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def _parse_result(self, data: Dict) -> Dict[str, Any]:
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"""解析听悟结果"""
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result = data.get("Result", {})
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transcription = result.get("Transcription", {})
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# 提取全文
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full_text = ""
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paragraphs = transcription.get("Paragraphs", [])
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for para in paragraphs:
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full_text += para.get("Text", "") + " "
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# 提取带说话人的片段
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segments = []
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sentences = transcription.get("Sentences", [])
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for sent in sentences:
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segments.append({
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"start": sent.get("BeginTime", 0) / 1000, # ms to s
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"end": sent.get("EndTime", 0) / 1000,
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"text": sent.get("Text", ""),
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"speaker": f"Speaker {sent.get('SpeakerId', 'A')}"
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})
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return {
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"full_text": full_text.strip(),
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"segments": segments
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}
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def transcribe(self, audio_url: str, language: str = "zh") -> Dict[str, Any]:
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"""一键转录：创建任务并等待结果"""
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task_id = self.create_task(audio_url, language)
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print(f"Tingwu task created: {task_id}")
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return self.get_task_result(task_id)
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