ReaderType.LAST does not return last value

Comienza reproduciendo el ejemplo con ReaderType.LAST y 'SNAPSHOT'; después, sigue el procesamiento de c.read() para esos tipos de lectura y compáralo con el resultado ACTUAL. Verifica que la marca de tiempo devuelta sea el punto de datos más reciente disponible, en lugar del valor anterior mostrado en el informe.

When using ReaderType.ACTUAL or 'SNAPSHOT', the last value retrieved consistently shows an hour offset. Instead of retrieving the actual last data point, it returns the data point from one hour earlier.

This code:

  import tagreader
  from tagreader import list_sources
  from datetime import datetime, timedelta
  from tagreader.utils import ReaderType
  
  c = tagreader.IMSClient(datasource='GFC', imstype='aspenone')
  try:
      c.connect()
      print("Connection successful")
  except Exception as e:
      print(f"Connection failed: {e}")
  
  
  # Use the read() method to read the tag data
  df_LAST = c.read(tags=['GFC.03-ST121.RPM'], read_type=ReaderType.LAST)
  df_SNAPSHOT = c.read(tags=['GFC.03-ST121.RPM'], read_type='SNAPSHOT')
  df = c.read(tags=['GFC.03-ST121.RPM'], start_time='04-11-24 12:50:00', end_time='04-11-24 13:10:00', read_type=ReaderType.ACTUAL)
  
  # Print the result
  print(df_LAST)
  print(df_SNAPSHOT)
  print(df)

returns:

  Connection successful
                             GFC.03-ST121.RPM
  time
  2024-11-04 12:05:41+01:00        8988.56543
                             GFC.03-ST121.RPM
  time
  2024-11-04 12:05:41+01:00        8988.56543
                                    GFC.03-ST121.RPM
  time
  2024-11-04 12:50:12.501000+01:00       8978.452148
  2024-11-04 12:50:53.505000+01:00       8989.392578
  2024-11-04 12:51:03.513000+01:00       9000.988281
  2024-11-04 12:51:13.511000+01:00       9011.892578
  2024-11-04 12:51:33.513000+01:00       9022.156250
  2024-11-04 12:52:27.522000+01:00       9011.138672
  2024-11-04 12:52:36.523000+01:00       9000.280273
  2024-11-04 12:52:45.524000+01:00       9010.517578
  2024-11-04 12:53:15.531000+01:00       9021.043945
  2024-11-04 12:53:24.532000+01:00       9032.085938
  2024-11-04 12:53:29.532000+01:00       9021.666992
  2024-11-04 12:53:33.533000+01:00       9031.952148
  2024-11-04 12:53:53.535000+01:00       9042.305664
  2024-11-04 12:53:57.535000+01:00       9032.219727
  2024-11-04 12:54:12.541000+01:00       9042.305664
  2024-11-04 12:54:20.542000+01:00       9031.284180
  2024-11-04 12:55:12.551000+01:00       9042.038086
  2024-11-04 12:56:31.563000+01:00       9053.131836
  2024-11-04 12:57:19.571000+01:00       9042.886719
  2024-11-04 12:57:45.574000+01:00       9032.442383
  2024-11-04 12:58:31.583000+01:00       9021.310547

where the data point: 2024-11-04 12:58:31.583000+01:00 9021.310547 is the actual last datapoint.