code: def test_publish_method_with_os_env(self, tracker: QueryExecTracker):
      # Define a mock summary function
      def mock_get_summary():
          return "Test summary data"
  
      # Define a mock environment for testing
      os.environ["LOGGING_SERVER_URL"] = "http://test-server"
      os.environ["LOGGING_SERVER_API_KEY"] = "test-api-key"
  
      # Set the get_summary method to your mock
      tracker.get_summary = mock_get_summary
  
      # Mock the requests.post method
      mock_response = MagicMock()
      mock_response.status_code = 200
      type(mock_response).text = "Response text"
      # Mock the requests.post method
      with patch(
          "requests.post", return_value=mock_response
      ) as mock_post:
          # Call the publish method
          result = tracker.publish()
  
      # Check that requests.post was called with the expected parameters
      mock_post.assert_called_with(
          "http://test-server/api/log/add",
          json={"json_log": "Test summary data"},
          headers={"Authorization": "Bearer test-api-key"},
      )
  
      # Check the result
      assert result is None
  
imports: import json
  import os
  import time
  from typing import Optional
  from unittest.mock import MagicMock, Mock, patch
  import pandas
  import pytest
  from pandasai.helpers.query_exec_tracker import QueryExecTracker
  from pandasai.llm.fake import FakeLLM
  from pandasai.smart_dataframe import SmartDataframe
  from unittest import TestCase
  from datetime import datetime, timedelta
label_desc: Use image node_id 23 for calling the TestQueryExecTracker obj's underlying member method code with example usage: obj.test_publish_method_with_os_env(tracker) and returns: str