ReaderType.LAST does not return last value

首先使用 ReaderType.LAST 和 'SNAPSHOT' 重现该示例，然后跟踪 c.read() 对这些读取类型的处理，并将其与 ACTUAL 结果进行比较。验证返回的时间戳是最新的可用数据点，而不是报告中显示的较早值。

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.