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.
      """
      _is_first_columns = True
      file_path = os.path.join(
          os.path.expanduser(self.dir_path), DATASET_NAME[self.name][0]
      )
      download_csv_name = (
          DATASET_NAME[self.name][0].split(".")[0] + ".csv"
      )
  
      try:
          if not os.path.exists(
              os.path.join(self.dir_path, download_csv_name)
          ):
              import tarfile
  
              tar = tarfile.open(file_path, "r:gz")
              tar.extractall(os.path.expanduser(self.dir_path))
      except Exception:
          raise FileExistsError(
              "file extractall failure,set redownload=True."
          )
  
      aio_raw_df = pd.read_csv(
          os.path.join(self.dir_path, download_csv_name),
          header=None,
          usecols=[0, 1, 2, 3],
          names=["id", "time_step", "cpu_usage", "mem_usage"],
          na_filter=False,
          chunksize=4096,
          low_memory=False,
      )
  
      if not os.path.exists(self.final_file_path):
          for val in aio_raw_df:
              val.loc[val.id.eq("m_1932")].to_csv(
                  self.final_file_path,
                  mode="a",
                  header=["id", "time_step", "cpu_usage", "mem_usage"]
                  if _is_first_columns
                  else None,
                  index=False,
              )
              _is_first_columns = False
  
      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
  
file_path: analytics-zoo/pyzoo/zoo/chronos/data/utils/public_dataset.py
imports: import os
  import requests
  import tqdm
  import pandas
  from zoo.chronos.data.tsdataset import TSDataset
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