Update app.py

app.py

@@ -19,6 +19,7 @@ import threading
 # <<<< HUGINFACE PATCH: WARMUP IMPORTS START >>>>
 from typing import List
 from huggingface_hub import snapshot_download
+from copy import deepcopy
 
 # <<<< HUGINFACE PATCH: WARMUP IMPORTS END >>>>
 import subprocess
@@ -29,7 +30,7 @@ import os
 import httpx
 
 print("[BOOT] Video Editor API starting…")
-from copy import deepcopy
+# Remove this line as it is redundant and already imported at the top of the file.
 POINTER_URL = os.getenv("BACKEND_POINTER_URL", "").strip()
 FALLBACK_BASE = os.getenv("BACKEND_BASE_URL", "http://127.0.0.1:8765").strip()
 print(f"[BOOT] POINTER_URL={POINTER_URL or '(unset)'}")
@@ -577,9 +578,7 @@ def poster(vid: str):
         return FileResponse(str(p), media_type="image/jpeg")
     raise HTTPException(404, "Poster introuvable")
 
-# >>> B1_BEGIN warmup_routes
-from copy import deepcopy
-
+# Remove redundant import and ensure imports are at the top of the file
 @app.post("/warmup/start", tags=["warmup"])
 async def warmup_start(payload: Optional[Dict[str, Any]] = Body(None)):
     """
@@ -590,20 +589,27 @@ async def warmup_start(payload: Optional[Dict[str, Any]] = Body(None)):
     # Nettoie un éventuel stop précédent pour permettre un nouveau run
     warmup_stop.clear()
 
-    models = []
+    # 1) Prendre la liste fournie si présente
     if payload and isinstance(payload, dict):
         models = [str(x).strip() for x in (payload.get("models") or []) if str(x).strip()]
+    else:
+        models = []
+
+    # 2) Sinon charger la liste par défaut (depuis WARMUP_MODELS)
     if not models:
-            # Correction douce de typos connues + dé-doublonnage
-            fixups = {"stabilityai/sd-vae-ft-ms": "stabilityai/sd-vae-ft-mse"}
-            models = [fixups.get(m, m) for m in models]
-            seen = set()
-            models = [m for m in models if not (m in seen or seen.add(m))]
+        models = _default_model_list()
 
+    # 3) Normaliser (fix typos) + dédoublonner
+    fixups = {"stabilityai/sd-vae-ft-ms": "stabilityai/sd-vae-ft-mse"}
+    models = [fixups.get(m, m) for m in models]
+    seen = set()
+    models = [m for m in models if not (m in seen or seen.add(m))]
 
+    # 4) Encore vide ? -> 400
     if not models:
         raise HTTPException(400, "Aucun modèle fourni (payload.models) et WARMUP_MODELS vide")
 
+    # 5) Lancer le job
     with warmup_lock:
         if warmup_state.get("running"):
             return {"ok": False, "already_running": True, "status": deepcopy(warmup_state)}