def _stats_result_to_model(self, result, groupby, aggregate, period,
first_timestamp):
if period is None:
period = 0
first_timestamp = pymongo_utils.from_unix_timestamp(first_timestamp)
stats_args = self._stats_result_aggregates(result, aggregate)
stats_args['unit'] = result['unit']
stats_args['duration'] = (result["last_timestamp"] -
result["first_timestamp"]).total_seconds()
stats_args['duration_start'] = result['first_timestamp']
stats_args['duration_end'] = result['last_timestamp']
stats_args['period'] = period
start = result.get("period_start", 0) * period
stats_args['period_start'] = (first_timestamp +
datetime.timedelta(seconds=start))
stats_args['period_end'] = (first_timestamp +
datetime.timedelta(seconds=start + period)
if period else result['last_timestamp'])
stats_args['groupby'] = (dict(
(g, result['_id'].get(g.replace(".", "/")))
for g in groupby) if groupby else None)
return models.Statistics(**stats_args)
def _stats_result_to_model(self, result, groupby, aggregate, period,
first_timestamp):
if period is None:
period = 0
first_timestamp = pymongo_utils.from_unix_timestamp(first_timestamp)
stats_args = self._stats_result_aggregates(result, aggregate)
stats_args['unit'] = result['unit']
stats_args['duration'] = (result["last_timestamp"] -
result["first_timestamp"]).total_seconds()
stats_args['duration_start'] = result['first_timestamp']
stats_args['duration_end'] = result['last_timestamp']
stats_args['period'] = period
start = result.get("period_start", 0) * period
stats_args['period_start'] = (first_timestamp +
datetime.timedelta(seconds=start))
stats_args['period_end'] = (first_timestamp +
datetime.timedelta(seconds=start + period)
if period else result['last_timestamp'])
stats_args['groupby'] = (
dict((g, result['_id'].get(g.replace(".", "/")))
for g in groupby) if groupby else None)
return models.Statistics(**stats_args)