facial_recog_6.py

def store_faces(self, request: StoreFacesRequest) -> StoreFacesResponse:
    stored_count = 0
    face_ids = []
    
    for image_faces_data in request.image_faces_data:
        for face_data in image_faces_data.faces:
            if face_data.embeddings and face_data.model_names:
                for model_name in face_data.model_names:
                    face_record = FaceRecord(
                        face_id=f"{uuid.uuid4()}",
                        image_source=image_faces_data.image_source,
                        timestamp=datetime.now(),
                        embeddings=face_data.embeddings,
                        model_names=face_data.model_names,
                        face_detection_confidence=face_data.face_detection_confidence,
                        coordinates=face_data.coordinates
                    )
                    
                    # Store in appropriate collection
                    collection_name = f"face_embeddings_{model_name.lower()}"
                    point = self._face_record_to_point(face_record, model_name)
                    self._client.upsert(collection_name=collection_name, points=[point])
                    stored_count += 1
                    face_ids.append(face_record.face_id)
    
    return StoreFacesResponse(success=True, stored_count=stored_count, face_ids=face_ids)