docstr: return data that meets the minimum requirements of tsdata.
docstr_tok: ["return","data","that","meets","the","minimum","requirements","of","tsdata","."]
code: def preprocess_AIOps(self):
      """
      return data that meets the minimum requirements of tsdata.
      """
      file_path = os.path.join(
          os.path.expanduser(self.dir_path), DATASET_NAME[self.name][0]
      )
      tar_file = DATASET_NAME[self.name][0].split(".")[0] + ".csv"
      tar_file = os.path.join(self.dir_path, tar_file)
      columns_list = ["id", "time_step", "cpu_usage", "mem_usage"]
  
      if not os.path.exists(self.final_file_path):
          if not os.path.exists(tar_file):
              tar = tarfile.open(file_path, "r:gz")
              tar.extractall(os.path.expanduser(self.dir_path))
          raw_df = pd.read_csv(
              tar_file,
              header=None,
              usecols=[0, 1, 2, 3],
              names=columns_list,
              na_filter=False,
              chunksize=4096,
              low_memory=False,
          )
          for val in raw_df:
              val.loc[val.id.eq("m_1932")].to_csv(
                  self.final_file_path,
                  mode="a",
                  header=columns_list,
                  index=False,
              )
              columns_list = None
  
      self.df = pd.read_csv(self.final_file_path, usecols=[1, 2, 3])
      self.df.sort_values(by="time_step", inplace=True)
      self.df.reset_index(inplace=True, drop=True)
      self.df["time_step"] = pd.to_datetime(
          self.df["time_step"],
          unit="s",
          origin=pd.Timestamp("2018-01-01"),
      )
      return self
  
imports: import os
  import re
  import zipfile
  import tarfile
  import requests
  import logging
  import pandas
  import numpy
  from bigdl.chronos.data.tsdataset import TSDataset
  from bigdl.nano.utils.common import invalidInputError
label_desc: Use image node_id 4 for calling the PublicDataset obj's underlying member method code with example usage: obj.preprocess_AIOps() and returns: self