def calculate_sub_run_time_average(log_property, time_filter) -> float:
'''Determine the time average value of the supplied log'''
if log_property.size() == 1: # single value property just copy
time_average_value = log_property.value
elif time_filter is None: # no filtering means use all values
time_average_value = log_property.timeAverageValue()
else:
# filter and get time average value
if isinstance(log_property, FloatTimeSeriesProperty):
filtered_tsp = FloatFilteredTimeSeriesProperty(
log_property, time_filter)
elif isinstance(log_property, Int32TimeSeriesProperty):
filtered_tsp = Int32FilteredTimeSeriesProperty(
log_property, time_filter)
elif isinstance(log_property, Int64TimeSeriesProperty):
filtered_tsp = Int64FilteredTimeSeriesProperty(
log_property, time_filter)
else:
raise NotImplementedError(
'TSP log property {} of type {} is not supported'
''.format(log_property.name, type(log_property)))
time_average_value = filtered_tsp.timeAverageValue()
del filtered_tsp
return time_average_value
def test_unfiltered_returns_source_property(self):
filtered = FloatFilteredTimeSeriesProperty(self._source, self._filter,
False)
unfiltered = filtered.unfiltered()
self.assertEquals(self._source.size(), unfiltered.size())
def test_constructor_filters_source_series(self):
filtered = FloatFilteredTimeSeriesProperty(self._source, self._filter,
False)
self.assertEquals(filtered.size(), 2)
