code: def test_predict_from_json(vertex_client, mocker):
      mock_endpoint = mocker.MagicMock()
      mock_endpoint.predict.return_value = "JSON Predictions"
  
      mock_open = mocker.mock_open(
          read_data='{"col1": ["data1", "data2"]}'
      )
      mocker.patch("builtins.open", mock_open)
  
      mocker.patch(
          f"{path}.json.load", return_value={"col1": ["data1", "data2"]}
      )
      mocker.patch(
          f"{path}.VertexClient.get_endpoint_by_display_name",
          return_value=mock_endpoint,
      )
  
      """Make a prediction from a JSON file"""
      with open("path_to_json", "r") as f:
          data = json.load(f)
  
      predictions = vertex_client.predict_from_dict("Endpoint1", data)
      assert predictions == "JSON 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 10 for calling a global function with example usage: test_predict_from_json(vertex_client, mocker) without return types