code: def test_format_response_dataframe_with_datetime_field(
      self, tracker: QueryExecTracker, sample_df: pd.DataFrame
  ):
      # Add a date column with random dates for demonstration
      start_date = datetime(2023, 1, 1)
      date_range = [
          start_date + timedelta(days=x) for x in range(len(sample_df))
      ]
  
      sample_df["date"] = date_range
  
      # Create a sample ResponseType for a dataframe
      response = {"type": "dataframe", "value": sample_df}
  
      # Format the response using _format_response
      formatted_response = tracker._format_response(response)
  
      # Validate dataframe json serialization
      json.dumps(formatted_response)
  
      # Check if the response is formatted correctly
      assert formatted_response["type"] == "dataframe"
      assert len(formatted_response["value"]["headers"]) == 4
      assert len(formatted_response["value"]["rows"]) == 10
  
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 9 for calling the TestQueryExecTracker obj's underlying member method code with example usage: obj.test_format_response_dataframe_with_datetime_field(tracker, sample_df) without return types