code: def _helper_for_auto_update_during_insertion_with_faiss(
      self, if_exists: bool
  ):
      for i, img_path in enumerate(self.img_path_list):
          insert_query = f"INSERT INTO testIndexAutoUpdate (img_path) VALUES ('{img_path}')"
          execute_query_fetch_all(self.evadb, insert_query)
          if i == 0:
              if_exists_str = "IF NOT EXISTS " if if_exists else ""
              create_index_query = f"CREATE INDEX {if_exists_str}testIndex ON testIndexAutoUpdate(DummyFeatureExtractor(Open(img_path))) USING FAISS"
              execute_query_fetch_all(self.evadb, create_index_query)
  
      select_query = """SELECT _row_id FROM testIndexAutoUpdate
                                  ORDER BY Similarity(DummyFeatureExtractor(Open("{}")), DummyFeatureExtractor(Open(img_path)))
                                  LIMIT 1;""".format(
          self.img_path
      )
      explain_batch = execute_query_fetch_all(
          self.evadb, f"EXPLAIN {select_query}"
      )
      self.assertTrue("VectorIndexScan" in explain_batch.frames[0][0])
  
      res_batch = execute_query_fetch_all(self.evadb, select_query)
      self.assertEqual(
          res_batch.frames["testindexautoupdate._row_id"][0], 5
      )
  
imports: import os
  import time
  import unittest
  from test.markers import chromadb_skip_marker, milvus_skip_marker, pinecone_skip_marker, qdrant_skip_marker, weaviate_skip_marker
  from test.util import create_sample_image, get_evadb_for_testing, load_functions_for_testing, shutdown_ray
  import numpy
  import pandas
  import pytest
  from evadb.models.storage.batch import Batch
  from evadb.server.command_handler import execute_query_fetch_all
  from evadb.storage.storage_engine import StorageEngine
  from evadb.utils.generic_utils import try_to_import_cv2
label_desc: Use image node_id 8 for calling the SimilarityTests obj's underlying member method code with example usage: obj._helper_for_auto_update_during_insertion_with_faiss(if_exists) without return types