code: def test_predict_from_csv(vertex_client, mocker):
      mock_endpoint = mocker.MagicMock()
      mock_endpoint.predict.return_value = "CSV Predictions"
  
      mocker.patch(
          f"{path}.pd.read_csv",
          return_value=pd.DataFrame({"col1": ["data1", "data2"]}),
      )
      mocker.patch(
          f"{path}.VertexClient.get_endpoint_by_display_name",
          return_value=mock_endpoint,
      )
  
      predictions = vertex_client.predict_from_csv(
          "Endpoint1", "path_to_csv"
      )
      assert predictions == "CSV Predictions"
  
imports: import time
  import json
  import pandas
  import pytest
  from unittest.mock import Mock, patch
  from mindsdb_sql import parse_sql
  from tests.unit.executor_test_base import BaseExecutorTest
  from mindsdb.integrations.handlers.vertex_handler.vertex_client import VertexClient
label_desc: Use image node_id 9 for calling a global function with example usage: test_predict_from_csv(vertex_client, mocker) without return types