def aggregate_count_over_time(self, metric_store, groupby_name, aggregate_timestamp):
all_qps = metric_store['<STR_LIT>']<EOL>qps = all_qps[groupby_name]<EOL>if aggregate_timestamp in qps:<EOL><INDENT>qps[aggregate_timestamp] += <NUM_LIT:1><EOL><DEDENT>else:<EOL><INDENT>qps[aggregate_timestamp] = <NUM_LIT:1><EOL><DEDENT>return None<EOL>
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