- batch_generator.py: 장르별 N트랙 순차 Suno 생성 → 자동 compile → 자동 video pipeline
- main.py: POST/GET /api/music/generate-batch, GET /api/music/generate-batch/{id} 추가
- tests: 10개 endpoint 테스트 (검증·필터·404)
149 lines
5.1 KiB
Python
149 lines
5.1 KiB
Python
"""배치 음악 생성 + 자동 컴파일·영상 파이프라인."""
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import asyncio
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import logging
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import uuid
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from . import db
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from .random_pools import randomize
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logger = logging.getLogger("music-lab.batch")
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POLL_INTERVAL_S = 5
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TRACK_GEN_TIMEOUT_S = 240
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async def run_batch(batch_id: int) -> None:
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"""1) genre로 N트랙 순차 Suno 생성
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2) 모두 완료 후 compile_job 자동 생성·실행
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3) compile 완료 후 영상 파이프라인 시작 (cover step)
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"""
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job = db.get_batch_job(batch_id)
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if not job:
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return
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genre = job["genre"]
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count = job["count"]
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duration = job["target_duration_sec"]
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auto_pipe = bool(job["auto_pipeline"])
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db.update_batch_job(batch_id, status="generating")
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track_ids: list[int] = []
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for i in range(1, count + 1):
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title = f"{genre.title()} Mix Track {i}"
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params = randomize(genre)
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db.update_batch_job(batch_id,
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current_track_index=i,
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current_track_status="generating")
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track_id = await _generate_one_track(
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title=title, genre=genre,
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duration_sec=duration, params=params,
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)
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if track_id:
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track_ids.append(track_id)
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db.append_batch_track(batch_id, track_id)
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db.update_batch_job(batch_id, current_track_status="succeeded")
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else:
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db.update_batch_job(batch_id, current_track_status="failed")
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logger.warning("배치 %d 트랙 %d 실패 — 계속 진행", batch_id, i)
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if not track_ids:
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db.update_batch_job(batch_id, status="failed",
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error="모든 트랙 생성 실패")
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return
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db.update_batch_job(batch_id, status="generated")
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if not auto_pipe:
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return
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# 자동 컴파일
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db.update_batch_job(batch_id, status="compiling")
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try:
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compile_id = db.create_compile_job(
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title=f"{genre.title()} Mix",
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track_ids=track_ids,
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crossfade_sec=3.0,
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)
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db.update_batch_job(batch_id, compile_job_id=compile_id)
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except Exception as e:
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logger.exception("compile create failed")
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db.update_batch_job(batch_id, status="failed", error=f"compile create: {e}")
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return
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from . import compiler
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try:
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await asyncio.to_thread(compiler.run_compile, compile_id)
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except Exception as e:
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logger.exception("compile run failed")
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db.update_batch_job(batch_id, status="failed", error=f"compile run: {e}")
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return
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job_after = db.get_compile_job(compile_id)
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status_after = job_after.get("status") if job_after else None
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if status_after not in ("done", "succeeded"):
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db.update_batch_job(
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batch_id, status="failed",
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error=f"compile not done (status={status_after})"
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)
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return
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# 자동 영상 파이프라인
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try:
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pipeline_id = db.create_pipeline(compile_job_id=compile_id)
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db.update_batch_job(batch_id, pipeline_id=pipeline_id, status="piped")
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from .pipeline import orchestrator
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await orchestrator.run_step(pipeline_id, "cover")
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except Exception as e:
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logger.exception("pipeline launch failed")
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db.update_batch_job(batch_id, status="failed", error=f"pipeline launch: {e}")
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async def _generate_one_track(*, title: str, genre: str, duration_sec: int,
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params: dict) -> int | None:
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"""기존 Suno generate 호출 + 완료까지 polling. 성공 시 새 track id, 실패 시 None."""
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from .suno_provider import run_suno_generation
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task_id = str(uuid.uuid4())
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suno_params = {
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"title": title,
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"genre": genre,
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"moods": params["moods"],
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"instruments": params["instruments"],
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"duration_sec": duration_sec,
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"bpm": params["bpm"],
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"key": params["key"],
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"scale": params["scale"],
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"prompt": params.get("prompt_modifier", ""),
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}
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db.create_task(task_id, suno_params, provider="suno")
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# Suno background task — 우리가 await로 기다림 (BackgroundTasks 미사용)
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asyncio.create_task(asyncio.to_thread(run_suno_generation, task_id, suno_params))
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waited = 0
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while waited < TRACK_GEN_TIMEOUT_S:
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await asyncio.sleep(POLL_INTERVAL_S)
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waited += POLL_INTERVAL_S
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task = db.get_task(task_id)
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if not task:
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continue
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status = task.get("status")
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if status == "succeeded":
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# task["track"] 또는 task["result"]["track"] 형태 시도, 없으면 task_id로 조회
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tr = task.get("track")
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if tr and isinstance(tr, dict):
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return tr.get("id")
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result = task.get("result", {}) or {}
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if isinstance(result, dict) and isinstance(result.get("track"), dict):
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return result["track"].get("id")
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# Fallback: music_library에서 task_id로 검색
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track = db.get_track_by_task_id(task_id)
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if track:
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return track.get("id")
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return None
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if status == "failed":
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return None
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return None # timeout
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