The scripting interface is in Python, and scripts can be used to build analysis workflows. The Python scripts control the Java classes in the application through the Jython interpreter (http://www.jython.org/). There are two types of components which are useful in building analysis scripts. The first type is the PerformanceResult interface, and the second is the PerformanceAnalysisComponent interface. For documentation on how to use the Java classes, see the javadoc in the perfexplorer source distribution, and the example scripts below. To build the perfexplorer javadoc, type

 %>./make javadoc

in the perfexplorer source directory.

from glue import PerformanceResult
from glue import PerformanceAnalysisOperation
from glue import ExtractEventOperation
from glue import Utilities
from glue import BasicStatisticsOperation
from glue import DeriveMetricOperation
from glue import MergeTrialsOperation
from glue import TrialResult
from glue import AbstractResult
from glue import DrawMMMGraph
from edu.uoregon.tau.perfdmf import Trial
from java.util import HashSet
from java.util import ArrayList

True = 1
False = 0

def glue():
	print "doing phase test for gtc on jaguar"
	# load the trial
	Utilities.setSession("perfdmf.demo")
	trial1 = Utilities.getTrial("gtc_bench", "Jaguar Compiler Options", "fastsse")
	result1 = TrialResult(trial1)

	print "got the data"

	# get the iteration inclusive totals

	events = ArrayList()
	for event in result1.getEvents():
		#if event.find("Iteration") >= 0 and result1.getEventGroupName(event).find("TAU_PHASE") < 0:
		if event.find("Iteration") >= 0 and event.find("=>") < 0:
			events.add(event)

	extractor = ExtractEventOperation(result1, events)
	extracted = extractor.processData().get(0)

	print "extracted phases"

	# derive metrics

	derivor = DeriveMetricOperation(extracted, "PAPI_L1_TCA", "PAPI_L1_TCM", DeriveMetricOperation.SUBTRACT)
	derived = derivor.processData().get(0)
	merger = MergeTrialsOperation(extracted)
	merger.addInput(derived)
	extracted = merger.processData().get(0)
	derivor = DeriveMetricOperation(extracted, "PAPI_L1_TCA-PAPI_L1_TCM", "PAPI_L1_TCA", DeriveMetricOperation.DIVIDE)
	derived = derivor.processData().get(0)
	merger = MergeTrialsOperation(extracted)
	merger.addInput(derived)
	extracted = merger.processData().get(0)
	derivor = DeriveMetricOperation(extracted, "PAPI_L1_TCM", "PAPI_L2_TCM", DeriveMetricOperation.SUBTRACT)
	derived = derivor.processData().get(0)
	merger = MergeTrialsOperation(extracted)
	merger.addInput(derived)
	extracted = merger.processData().get(0)
	derivor = DeriveMetricOperation(extracted, "PAPI_L1_TCM-PAPI_L2_TCM", "PAPI_L1_TCM", DeriveMetricOperation.DIVIDE)
	derived = derivor.processData().get(0)
	merger = MergeTrialsOperation(extracted)
	merger.addInput(derived)
	extracted = merger.processData().get(0)
	derivor = DeriveMetricOperation(extracted, "PAPI_FP_INS", "P_WALL_CLOCK_TIME", DeriveMetricOperation.DIVIDE)
	derived = derivor.processData().get(0)
	merger = MergeTrialsOperation(extracted)
	merger.addInput(derived)
	extracted = merger.processData().get(0)
	derivor = DeriveMetricOperation(extracted, "PAPI_FP_INS", "PAPI_TOT_INS", DeriveMetricOperation.DIVIDE)
	derived = derivor.processData().get(0)
	merger = MergeTrialsOperation(extracted)
	merger.addInput(derived)
	extracted = merger.processData().get(0)

	print "derived metrics..."

	# get the Statistics
	dostats = BasicStatisticsOperation(extracted, False)
	stats = dostats.processData()

	print "got stats..."

	return

	for metric in stats.get(0).getMetrics():
		grapher = DrawMMMGraph(stats)
		metrics = HashSet()
		metrics.add(metric)
		grapher.set_metrics(metrics)
		grapher.setTitle("GTC Phase Breakdown: " + metric)
		grapher.setSeriesType(DrawMMMGraph.TRIALNAME);
		grapher.setCategoryType(DrawMMMGraph.EVENTNAME)
		grapher.setValueType(AbstractResult.INCLUSIVE)
		grapher.setXAxisLabel("Iteration")
		grapher.setYAxisLabel("Inclusive " + metric);
		# grapher.setLogYAxis(True)
		grapher.processData()

	# graph the significant events in the iteration

	subsetevents = ArrayList()
	subsetevents.add("CHARGEI")
	subsetevents.add("PUSHI")
	subsetevents.add("SHIFTI")

	print "got data..."

	for subsetevent in subsetevents:
		events = ArrayList()
		for event in result1.getEvents():
			if event.find("Iteration") >= 0 and event.rfind(subsetevent) >= 0:
				events.add(event)

		extractor = ExtractEventOperation(result1, events)
		extracted = extractor.processData().get(0)

		print "extracted phases..."

		# get the Statistics
		dostats = BasicStatisticsOperation(extracted, False)
		stats = dostats.processData()

		print "got stats..."

		for metric in stats.get(0).getMetrics():
			grapher = DrawMMMGraph(stats)
			metrics = HashSet()
			metrics.add(metric)
			grapher.set_metrics(metrics)
			grapher.setTitle(subsetevent + ", " + metric)
			grapher.setSeriesType(DrawMMMGraph.TRIALNAME);
			grapher.setCategoryType(DrawMMMGraph.EVENTNAME)
			grapher.setValueType(AbstractResult.INCLUSIVE)
			# grapher.setLogYAxis(True)
			grapher.processData()
	return

print "--------------- JPython test script start ------------"
glue()
print "---------------- JPython test script end -------------"