- FastAPI 백엔드 (audio-studio-api) - Next.js 프론트엔드 (audio-studio-ui) - Qwen3-TTS 엔진 (audio-studio-tts) - MusicGen 서비스 (audio-studio-musicgen) - Docker Compose 개발/운영 환경 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
228 lines
7.2 KiB
Python
228 lines
7.2 KiB
Python
"""TTS API 라우터"""
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import uuid
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from datetime import datetime
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from typing import Optional
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from fastapi import APIRouter, HTTPException, Depends
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from fastapi.responses import Response, StreamingResponse
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from app.database import Database, get_db
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from app.models.voice import TTSSynthesizeRequest, TTSGenerationResponse, VoiceType
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from app.services.tts_client import tts_client
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from app.routers.voices import PRESET_VOICES
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router = APIRouter(prefix="/api/v1/tts", tags=["tts"])
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@router.post("/synthesize")
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async def synthesize(
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request: TTSSynthesizeRequest,
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db: Database = Depends(get_db),
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):
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"""TTS 음성 합성
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지정된 보이스로 텍스트를 음성으로 변환합니다.
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"""
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voice_id = request.voice_id
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# 프리셋 보이스 확인
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preset_speaker = None
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for preset in PRESET_VOICES:
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if preset["voice_id"] == voice_id:
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preset_speaker = preset["preset_voice_id"]
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break
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if preset_speaker:
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# 프리셋 음성 합성
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try:
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audio_bytes, sr = await tts_client.synthesize(
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text=request.text,
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speaker=preset_speaker,
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language="ko",
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instruct=request.instruct,
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)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"TTS synthesis failed: {str(e)}")
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else:
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# DB에서 보이스 정보 조회
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voice_doc = await db.voices.find_one({"voice_id": voice_id})
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if not voice_doc:
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raise HTTPException(status_code=404, detail="Voice not found")
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voice_type = voice_doc.get("type")
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if voice_type == VoiceType.CLONED.value:
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# Voice Clone 합성 (레퍼런스 오디오 필요)
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ref_audio_id = voice_doc.get("reference_audio_id")
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ref_transcript = voice_doc.get("reference_transcript", "")
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if not ref_audio_id:
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raise HTTPException(status_code=400, detail="Reference audio not found")
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ref_audio = await db.get_audio(ref_audio_id)
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try:
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audio_bytes, sr = await tts_client.voice_clone(
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text=request.text,
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ref_audio=ref_audio,
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ref_text=ref_transcript,
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language=voice_doc.get("language", "ko"),
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)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Voice clone synthesis failed: {str(e)}")
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elif voice_type == VoiceType.DESIGNED.value:
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# Voice Design 합성
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design_prompt = voice_doc.get("design_prompt", "")
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try:
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audio_bytes, sr = await tts_client.voice_design(
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text=request.text,
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instruct=design_prompt,
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language=voice_doc.get("language", "ko"),
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)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Voice design synthesis failed: {str(e)}")
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else:
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raise HTTPException(status_code=400, detail=f"Unknown voice type: {voice_type}")
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# 생성 기록 저장
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generation_id = f"gen_{uuid.uuid4().hex[:12]}"
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now = datetime.utcnow()
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# 오디오 저장
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audio_file_id = await db.save_audio(
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audio_bytes,
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f"{generation_id}.wav",
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metadata={"voice_id": voice_id, "text": request.text[:100]},
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)
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# 생성 기록 저장
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gen_doc = {
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"generation_id": generation_id,
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"voice_id": voice_id,
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"text": request.text,
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"audio_file_id": audio_file_id,
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"status": "completed",
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"created_at": now,
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}
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await db.tts_generations.insert_one(gen_doc)
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return Response(
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content=audio_bytes,
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media_type="audio/wav",
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headers={
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"X-Sample-Rate": str(sr),
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"X-Generation-ID": generation_id,
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"Content-Disposition": f'attachment; filename="{generation_id}.wav"',
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},
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)
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@router.post("/synthesize/async", response_model=TTSGenerationResponse)
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async def synthesize_async(
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request: TTSSynthesizeRequest,
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db: Database = Depends(get_db),
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):
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"""비동기 TTS 음성 합성 (긴 텍스트용)
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생성 작업을 큐에 등록하고 generation_id를 반환합니다.
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완료 후 /generations/{generation_id}/audio로 다운로드 가능합니다.
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"""
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# 긴 텍스트 처리를 위한 비동기 방식
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# 현재는 동기 방식과 동일하게 처리 (추후 Redis 큐 연동)
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generation_id = f"gen_{uuid.uuid4().hex[:12]}"
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now = datetime.utcnow()
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gen_doc = {
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"generation_id": generation_id,
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"voice_id": request.voice_id,
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"text": request.text,
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"status": "pending",
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"created_at": now,
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}
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await db.tts_generations.insert_one(gen_doc)
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# 실제로는 백그라운드 워커에서 처리해야 함
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# 여기서는 바로 처리
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try:
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# synthesize 로직과 동일...
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# (간소화를 위해 생략, 실제 구현 시 비동기 워커 사용)
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pass
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except Exception as e:
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await db.tts_generations.update_one(
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{"generation_id": generation_id},
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{"$set": {"status": "failed", "error_message": str(e)}},
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)
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return TTSGenerationResponse(
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generation_id=generation_id,
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voice_id=request.voice_id,
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text=request.text,
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status="pending",
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created_at=now,
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)
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@router.get("/generations/{generation_id}", response_model=TTSGenerationResponse)
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async def get_generation(
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generation_id: str,
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db: Database = Depends(get_db),
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):
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"""TTS 생성 상태 조회"""
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doc = await db.tts_generations.find_one({"generation_id": generation_id})
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if not doc:
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raise HTTPException(status_code=404, detail="Generation not found")
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return TTSGenerationResponse(
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generation_id=doc["generation_id"],
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voice_id=doc["voice_id"],
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text=doc["text"],
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status=doc["status"],
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audio_file_id=str(doc.get("audio_file_id")) if doc.get("audio_file_id") else None,
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duration_seconds=doc.get("duration_seconds"),
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created_at=doc["created_at"],
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)
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@router.get("/generations/{generation_id}/audio")
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async def get_generation_audio(
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generation_id: str,
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db: Database = Depends(get_db),
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):
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"""생성된 오디오 다운로드"""
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doc = await db.tts_generations.find_one({"generation_id": generation_id})
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if not doc:
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raise HTTPException(status_code=404, detail="Generation not found")
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if doc["status"] != "completed":
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raise HTTPException(status_code=400, detail=f"Generation not completed: {doc['status']}")
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audio_file_id = doc.get("audio_file_id")
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if not audio_file_id:
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raise HTTPException(status_code=404, detail="Audio file not found")
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audio_bytes = await db.get_audio(audio_file_id)
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return Response(
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content=audio_bytes,
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media_type="audio/wav",
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headers={
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"Content-Disposition": f'attachment; filename="{generation_id}.wav"',
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},
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)
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@router.get("/health")
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async def tts_health():
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"""TTS 엔진 헬스체크"""
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try:
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health = await tts_client.health_check()
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return {"status": "healthy", "tts_engine": health}
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except Exception as e:
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return {"status": "unhealthy", "error": str(e)}
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