docstr: make predict queries to both trained models
          
docstr_tok: ["make","predict","queries","to","both","trained","models"]
code: def test_predict(self):
      """make predict queries to both trained models"""
  
      query = """
              SELECT var_a,
                  var_a_explain
              FROM mindsdb.test_model_async
              WHERE b = 10;
          """
      response = self.sql_via_http(query, RESPONSE_TYPE.TABLE)
      assert len(response["data"]) == 1
      assert len(response["data"][0]) == 2
  
      query = """
              SELECT var_a,
                  var_a_explain
              FROM pg.test_data
              JOIN mindsdb.test_model_sync
              LIMIT 3;
          """
      response = self.sql_via_http(query, RESPONSE_TYPE.TABLE)
      assert len(response["data"]) == 3
      assert len(response["data"][0]) == 2
  
      db = Database(protocol=3)
      assert db.xlen(TASKS_STREAM_NAME) == 0
  
file_path: mindsdb/tests/integration_tests/flows/test_ml_task_queue.py
imports: import json
  import pytest
  from walrus import Database
  from mindsdb.api.executor.data_types.response_type import RESPONSE_TYPE
  from mindsdb.utilities.ml_task_queue.const import TASKS_STREAM_NAME
  from .http_test_helpers import HTTPHelperMixin
label_desc: Use image node_id 3 for calling the TestMLTaskQueue obj's underlying member method code with example usage: obj.test_predict() without return types