feat(music-lab): background.py — Pexels Video API + orchestrator video_loop 분기

music-lab/app/pipeline/orchestrator.py

@@ -6,7 +6,8 @@ import os
 import sqlite3
 
 from app import db
-from . import cover, video, thumb, metadata, review, youtube
+from . import cover, video, thumb, metadata, review, youtube, background, storage
+from .gradient import make_gradient_with_title
 
 logger = logging.getLogger("music-lab.orchestrator")
 
@@ -167,13 +168,31 @@ def _fetch_track_fallback(track_id: int) -> dict | None:
 
 async def _run_cover(p, ctx, feedback):
     setup = db.get_youtube_setup()
+    vd = setup["visual_defaults"]
+    bg_mode = p.get("background_mode") or vd.get("default_background_mode", "static")
+    keyword = p.get("background_keyword") or vd.get("default_background_keyword", "")
+
+    if bg_mode == "video_loop":
+        # Pexels 영상 다운로드 시도 — 성공 여부와 무관하게 cover.jpg는 그라데이션으로 별도 생성
+        # (실패 시 video.py가 cover.jpg를 fallback 배경으로 사용 가능)
+        await background.fetch_video_loop(p["id"], keyword)
+
+        out_path = os.path.join(storage.pipeline_dir(p["id"]), "cover.jpg")
+        make_gradient_with_title(ctx["genre"], ctx["title"], out_path)
+        return {"next_state": "cover_pending",
+                "fields": {"cover_url": storage.media_url(p["id"], "cover.jpg")}}
+
+    # 정적 모드 — 기존 cover.generate 흐름
     prompts = setup["cover_prompts"]
     template = prompts.get(ctx["genre"].lower(), prompts.get("default", ""))
+    image_source = vd.get("background_image_source", "ai")
     out = await cover.generate(
         pipeline_id=p["id"], genre=ctx["genre"],
         prompt_template=template,
         mood=", ".join(ctx["moods"] or []),
         track_title=ctx["title"], feedback=feedback,
+        image_source=image_source,
+        background_keyword=keyword,
     )
     return {"next_state": "cover_pending", "fields": {"cover_url": out["url"]}}