Update preprocessing_router.py

preprocessing_router.py

@@ -24,6 +24,8 @@ import asr_client
 from sklearn.cluster import KMeans
 from sklearn.neighbors import KNeighborsClassifier
 
+from svision_client import get_face_embeddings_simple
+
 
 ROOT = Path("/tmp/veureu")
 ROOT.mkdir(parents=True, exist_ok=True)
@@ -239,6 +241,8 @@ async def finalize_casting(
     print("\n" + "="*50)
     print(f"DEBUG: RECIBIENDO PERSONAJES PARA EL VÍDEO: {video_name}")
     print("="*50)
+
+    casting_json = {"face_col": [], "voice_col": []}
     
     for idx, char in enumerate(characters):
         c_name = char.get("name", "Sin nombre")
@@ -249,10 +253,19 @@ async def finalize_casting(
         print(f"   📂 Carpeta origen: {c_folder}")
         print(f"   🖼️ Archivos seleccionados ({len(c_files)}):")
         for f in c_files:
+            emb = get_face_embeddings_simple(f)
+            print(emb)
             print(f"      - {f}")
+            casting_json["face_col"].append({
+                "nombre": c_name,
+                "embedding": emb,
+            })
+            
         print("-" * 30)
     print("="*50 + "\n")
 
+    print(casting_json)
+
     MEDIA_ROOT = _P("/data/media")
     video_hash = find_video_hash(video_name+".mp4",MEDIA_ROOT)
     if not video_name or not base_dir: