text: import logging
  
  try:
      pass
  except ModuleNotFoundError:
      print("Can't find ib_insync")
  import pandas as pd
  import pytest
  
  import im.ib.data.extract.gateway.test.utils as iidegt
  
  _LOG = logging.getLogger(__name__)
  
  
  @pytest.mark.skip(reason="CmTask666")
  class Test_get_historical_data(iidegt.IbExtractionTest):
      def test_save_historical_data_with_IB_loop1(self) -> None:
          # 2021-02-17 is a Wednesday and it's full day.
          start_ts = pd.Timestamp("2021-02-17 00:00:00")
          end_ts = start_ts + pd.DateOffset(days=1)
          bar_size_setting = "1 hour"
          use_rth = False
          (
              df,
              short_signature,
              long_signature,
          ) = self._save_historical_data_with_IB_loop_helper(
              start_ts, end_ts, bar_size_setting, use_rth
          )
          #
          act = "\n".join(map(str, df.index))
          # NOTE: IB returns also a bar at close 16:30 even if the frequency is hourly.
          exp = """
          2021-02-17 00:00:00-05:00
          2021-02-17 01:00:00-05:00
          2021-02-17 02:00:00-05:00
          2021-02-17 03:00:00-05:00
          2021-02-17 04:00:00-05:00
          2021-02-17 05:00:00-05:00
          2021-02-17 06:00:00-05:00
          2021-02-17 07:00:00-05:00
          2021-02-17 08:00:00-05:00
          2021-02-17 09:00:00-05:00
          2021-02-17 10:00:00-05:00
          2021-02-17 11:00:00-05:00
          2021-02-17 12:00:00-05:00
          2021-02-17 13:00:00-05:00
          2021-02-17 14:00:00-05:00
          2021-02-17 15:00:00-05:00
          2021-02-17 16:00:00-05:00
          2021-02-17 16:30:00-05:00
          2021-02-17 18:00:00-05:00
          2021-02-17 19:00:00-05:00
          2021-02-17 20:00:00-05:00
          2021-02-17 21:00:00-05:00
          2021-02-17 22:00:00-05:00
          2021-02-17 23:00:00-05:00
          """
          self.assert_equal(act, exp, fuzzy_match=True)
          #
          exp_short_signature = """
          signature=len=24 [2021-02-17 00:00:00-05:00, 2021-02-17 23:00:00-05:00]
          min_max_df=
                           min       max
          2021-02-17  00:00:00  23:00:00
          """
          self.assert_equal(short_signature, exp_short_signature, fuzzy_match=True)
          #
          self.check_string(long_signature)
  