code: def aggregate_count_over_time(self, metric_store, groupby_name, aggregate_timestamp):
      
      all_qps = metric_store['qps']
      qps = all_qps[groupby_name]
      if aggregate_timestamp in qps:
        qps[aggregate_timestamp] += 1
      else:
        qps[aggregate_timestamp] = 1
      return None
docs: Organize and store the count of data from the log line into the metric store by columnm, group name, timestamp
  
      :param dict metric_store: The metric store used to store all the parsed the log data
      :param string groupby_name: the group name that the log line belongs to
      :param string aggregate_timestamp: timestamp used for storing the raw data. This accounts for aggregation time period
      :return: None