def points(self):
if len(self.instances) <= 0:
return
if self.granularity:
prev_average = None
prev_period = None
for start_time, end_time in self._get_intervals(
self.start_time, self.granularity, self.end_time):
def data_instance_filter(item):
if item.created < start_time or item.created >= end_time:
return False
return True
instances = filter(data_instance_filter, self.instances)
if len(instances) > 0:
total = 0
for instance in instances:
total += int(instance.value)
average = float(total) / len(instances)
if prev_period is not None:
delta = end_time - prev_period['end_time']
delta_secs = delta.days * 86400 + delta.seconds
value = (average - prev_period['average']) / delta_secs
prev_period = {
'start_time': start_time,
'end_time': end_time,
'average': average,
}
yield Presenter.DataPoint(
datetime_to_timestamp(start_time) * 1000, value)
else:
prev_period = {
'start_time': start_time,
'end_time': end_time,
'average': average,
}
continue
else:
yield Presenter.NullDataPoint()
else:
for obj in self.queryset:
if self._prev_obj is None:
# This is the first DataInstance, do NOT create a DataPoint
self._prev_obj = obj
continue
# For every other instance, yield a DataPoint with the previous
# DataInstances value subtracted.
data_point = self._get_data_point(obj)
prev_data_point = self._get_data_point(self._prev_obj)
data_point.y -= prev_data_point.y
self._prev_obj = obj
yield data_point
def points(self):
if len(self.instances) <= 0:
return
if self.granularity:
prev_average = None
prev_period = None
for start_time, end_time in self._get_intervals(self.start_time, self.granularity, self.end_time):
def data_instance_filter(item):
if item.created < start_time or item.created >= end_time:
return False
return True
instances = filter(data_instance_filter, self.instances)
if len(instances) > 0:
total = 0
for instance in instances:
total += int(instance.value)
average = float(total) / len(instances)
if prev_period is not None:
delta = end_time - prev_period['end_time']
delta_secs = delta.days * 86400 + delta.seconds
value = (average - prev_period['average']) / delta_secs
prev_period = {
'start_time': start_time,
'end_time': end_time,
'average': average,
}
yield Presenter.DataPoint(datetime_to_timestamp(start_time)*1000, value)
else:
prev_period = {
'start_time': start_time,
'end_time': end_time,
'average': average,
}
continue
else:
yield Presenter.NullDataPoint()
else:
for obj in self.queryset:
if self._prev_obj is None:
# This is the first DataInstance, do NOT create a DataPoint
self._prev_obj = obj
continue
# For every other instance, yield a DataPoint with the previous
# DataInstances value subtracted.
data_point = self._get_data_point(obj)
prev_data_point = self._get_data_point(self._prev_obj)
data_point.y -= prev_data_point.y
self._prev_obj = obj
yield data_point
def _get_data_point(self, data_instance):
return Presenter.DataPoint(datetime_to_timestamp(data_instance.created) * 1000, data_instance.value)
def _get_data_point(self, data_instance):
return Presenter.DataPoint(
datetime_to_timestamp(data_instance.created) * 1000,
data_instance.value)
