77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
"""OpenAI ASR adapter."""
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from __future__ import annotations
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from io import BytesIO
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from fastapi import HTTPException
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from openai import AsyncOpenAI
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from app.core.logging import get_logger
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from app.services.adapters.asr.models import TranscriptionOutput
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from app.services.adapters.base import BaseAdapter
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from app.services.adapters.registry import AdapterRegistry
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logger = get_logger(__name__)
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@AdapterRegistry.register("asr", "openai_asr")
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class OpenAIASRAdapter(BaseAdapter[TranscriptionOutput]):
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"""Transcribe uploaded voice turn audio with OpenAI audio transcription."""
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adapter_type = "asr"
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adapter_name = "openai_asr"
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async def execute(
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self,
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audio_bytes: bytes,
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file_name: str | None = None,
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mime_type: str | None = None,
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transcript_hint: str | None = None,
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language: str | None = None,
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**kwargs,
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) -> TranscriptionOutput:
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if not self.config.api_key:
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raise HTTPException(
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status_code=503,
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detail="OPENAI_API_KEY 未配置，无法使用 OpenAI 语音转写。",
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)
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client = AsyncOpenAI(api_key=self.config.api_key)
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audio_file = BytesIO(audio_bytes)
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audio_file.name = file_name or "voice-turn.webm"
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prompt = transcript_hint.strip() if transcript_hint else None
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model = self.config.model or "gpt-4o-mini-transcribe"
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try:
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response = await client.audio.transcriptions.create(
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model=model,
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file=audio_file,
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language=language,
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prompt=prompt,
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)
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except Exception as exc:
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logger.warning("openai_asr_failed", error=str(exc))
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raise HTTPException(
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status_code=503,
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detail="语音转写服务暂时不可用，请稍后重试。",
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) from exc
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transcript_text = (getattr(response, "text", "") or "").strip()
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if not transcript_text:
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raise HTTPException(status_code=502, detail="语音转写结果为空，请重试。")
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return TranscriptionOutput(
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transcript_text=transcript_text,
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confidence=None,
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provider=self.adapter_name,
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)
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async def health_check(self) -> bool:
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return bool(self.config.api_key)
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@property
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def estimated_cost(self) -> float:
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return 0.006
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