def handle(self, perioddata):
ProxiedMetric.handle(self, perioddata)
if self.percentChange.ready():
nextchg = self.percentChange.value()
if len(self.changes) == self.period:
# have enough to calculate value, do it now before storing our latest value
count = 0.0
for pc in self.changes:
if pc < nextchg:
count = count + 1.0
self.val = 100 * (count / float(self.period))
self.changes.append(nextchg)
if len(self.changes) > self.period:
self.changes = self.changes[len(self.changes) - self.period:]
pass
def handle(self, perioddata):
ProxiedMetric.handle(self, perioddata)
if self.percentChange.ready():
nextchg = self.percentChange.value()
if len (self.changes) == self.period:
# have enough to calculate value, do it now before storing our latest value
count = 0.0
for pc in self.changes:
if pc < nextchg:
count = count+1.0
self.val = 100*(count/float(self.period))
self.changes.append(nextchg)
if len(self.changes) > self.period:
self.changes = self.changes[len(self.changes)-self.period:]
pass
def handle(self, perioddata):
ProxiedMetric.handle(self, perioddata)
if self.metric.ready():
data = self.metric.value()
if self.lastData != None:
delta = data - self.lastData
if delta > 0:
if self.val == None or self.val < 0:
self.val = 1.0
else:
self.val = self.val + 1.0
if delta < 0:
if self.val == None or self.val > 0:
self.val = -1.0
else:
self.val = self.val - 1.0
if delta == 0:
self.val = 0
self.lastData = data
def handle(self, perioddata):
ProxiedMetric.handle(self, perioddata)
if self.metric.ready():
data = self.metric.value()
if self.lastData != None:
delta = data - self.lastData
if delta > 0:
if self.val == None or self.val < 0:
self.val = 1.0
else:
self.val = self.val + 1.0
if delta < 0:
if self.val == None or self.val > 0:
self.val = -1.0
else:
self.val = self.val - 1.0
if delta == 0:
self.val = 0
self.lastData = data
