def createThresholdInstance(self, context):
"""Return the config used by the collector to process point
thresholds. (id, escalateCount)
"""
mmt = StatusThresholdInstance(self.id, ThresholdContext(context),
self.dsnames, self.eventClass,
self.escalateCount, context.statusmap,
context.meta_type)
return mmt
def createThresholdInstance(self, context):
"""Return the config used by the collector to process point
thresholds. (id, pointval, severity, escalateCount)
"""
mmt = PointThresholdInstance(self.id,
ThresholdContext(context),
self.dsnames,
pointval=self.getPointval(context),
eventClass=self.eventClass,
severity=self.severity,
SeverityString=self.getSeverityString(),
escalateCount=self.escalateCount)
return mmt
def createThresholdInstance(self, context):
"""Return the config used by the collector to process min/max
thresholds. (id, minval, maxval, severity, escalateCount)
"""
mmt = HystThresholdInstance(self.id,
ThresholdContext(context),
self.dsnames,
minval=self.getMinval(context),
maxval=self.getMaxval(context),
badCount=self.getHystN(context),
queueSize=self.getHystM(context),
goodCount=self.getHystK(context),
eventClass=self.eventClass,
severity=self.severity,
escalateCount=self.escalateCount)
return mmt
def createThresholdInstance(self, context):
"""Return the config used by the collector to process point
thresholds. (id, pointval, severity, escalateCount)
"""
pti = PredictiveThresholdInstance(self.id,
ThresholdContext(context),
self.dsnames,
eventClass=self.eventClass,
severity=self.severity,
escalateCount=self.escalateCount,
alpha=self.alpha,
beta=self.beta,
gamma=self.gamma,
rows=self.rows,
season=self.season,
window=self.window,
threshold=self.threshold,
delta=self.delta,
predcolor=self.predcolor,
cbcolor=self.cbcolor,
tkcolor=self.tkcolor)
return pti