docs: def filter_false_positive(df, process_time):
      """
      method that takes in FireEye (FE) alerts and filters FE-tests and False Positives
      :param process_time:
      :param df:
      :return:
      """
      result = []
      track = []
      count = 0
      for o in df['alerts']:
          count += 1
          if 'closedState' in o:
              if o['closedState'] != 'False Positive':
                  if 'distinguishers' in o:
                      try:
                          if 'virus' in o['distinguishers']:
                              if o['distinguishers']['virus'] != 'fetestevent':
                                  result.append(o)
                              else:
                                  track.append(o)  # Track fetestevents that are skipped
                          else:
                              result.append(o)
                      except TypeError:
                          result.append(o)
                  else:
                      result.append(o)
              else:
                  track.append(o)  # Track false positives that are skipped
          elif 'distinguishers' in o:
              try:
                  if 'virus' in o['distinguishers']:
                      if o['distinguishers']['virus'] != 'fetestevent':
                          result.append(o)
                      else:
                          track.append(o)  # Track fetestevents that are skipped
                  else:
                      result.append(o)
              except TypeError:
                  result.append(o)
  
      trackfile = open('tracking_fetest_' + process_time + '.txt', 'w')
      numskip = 1
      for item in track:
          trackfile.write("\n\n**** {:d}: Display ID {} ****\n\n{}".format(numskip, item['displayId'], item))
          numskip += 1
      return result