def deriveMetric(input, first, second, oper):
# derive the metric
derivor = DeriveMetricOperation(input, first, second, oper)
derived = derivor.processData().get(0)
newName = derived.getMetrics().toArray()[0]
# merge new metric with the trial
merger = MergeTrialsOperation(input)
merger.addInput(derived)
merged = merger.processData().get(0)
#print "new metric: " + newName
return merged, newName
def deriveMetric(input, first, second, oper):
# derive the metric
derivor = DeriveMetricOperation(input, first, second, oper)
# check to see if this metric already has been derived
merged = None
newName = None
if (derivor.exists()):
print "Exists: ", newName
merged = input
newName = derivor.getNewName()
else:
derived = derivor.processData().get(0)
newName = derivor.getNewName()
# merge new metric with the trial
merger = MergeTrialsOperation(input)
merger.addInput(derived)
merged = merger.processData().get(0)
# save the newly derived metric
# saver = SaveResultOperation(derived)
# saver.setForceOverwrite(False)
# saver.processData()
print "new metric: ", newName
return merged, newName
from glue import MergeTrialsOperation
from glue import DerivedMetrics
from glue import TopXEvents
from glue import MeanEventFact
###################################################################
print "---------------- JPython test script begin -----------"
# create a rulebase for processing
ruleHarness = RuleHarness.useGlobalRules("openuh/OpenUHRules.drl")
# load a trial
trial = TrialMeanResult(Utilities.getTrial("Fluid Dynamic", "rib 45", "1_8"))
# calculate the derived metric
totalStalls = "BACK_END_BUBBLE_ALL"
totalCycles = "CPU_CYCLES"
derivor = DeriveMetricOperation(trial, totalStalls, totalCycles,
DeriveMetricOperation.DIVIDE)
derived = derivor.processData().get(0)
for event in derived.getEvents():
MeanEventFact.compareEventToMain(derived, mainEvent, derived, event)
print
# process the rules
RuleHarness.getInstance().processRules()
print "---------------- JPython test script end -------------"