def run(self, sinkSymbol):
contentProvider = DBContentsProvider()
modelCreator = DataFlowModelCreator(contentProvider)
modelCreator.setSourceDistInCluster(0.2)
modelCreator.setInvocDistInCluster(3)
modelCreator.setMinNumMemersInInvocCluster(4)
modelCreator.setTopnInvocClusters(10000)
modelCreator.createDataFlowModels(sinkSymbol)
models = modelCreator.getModels()
overlayCreator = CheckOverlayCreator(contentProvider)
overlayCreator.setMinCondObserved(3) # <- changed from 4
overlayCreator.setMinFracChecks(10) # <- changed from 10 # NOT USED!
overlayCreator.setTopnCheckHist(10) # <- changed from 10
overlayCreator.createForModels(models)
models = overlayCreator.getModels()
modelPrinter = ModelPrinter()
# modelPrinter.printSummary(models)
# modelPrinter.printAll(models)
converter = ModelToQuery()
for model in models:
query = converter.convert(model)
# print 'ClusterId: ' + str(model.clusterId)
print query
def run(self, checkId):
contentProvider = DBContentsProvider()
check2SubChecks = CheckToSubChecks(contentProvider)
subChecks = check2SubChecks.checkToSubChecks(checkId)
check2Sinks = CheckToSinks(contentProvider)
sinks = check2Sinks.checkToSink(checkId)
print sinks
if not sinks:
print 'No sinks.'
sys.exit()
modelCreator = DataFlowModelCreator(contentProvider)
overlayCreator = CheckOverlayCreator(contentProvider)
for sink in sinks:
sinkSymbol, callSiteId = sink
if 'log' in sinkSymbol: continue
print sinkSymbol
modelCreator.createDataFlowModels(sinkSymbol, callSiteId)
models = modelCreator.getModels()
overlayCreator.createForModels(models, subChecks)
models = overlayCreator.getModels()
converter = ModelToQuery()
for query in [converter.convert(model) for model in models]:
print query
def run(self, checkId):
contentProvider = DBContentsProvider()
check2SubChecks = CheckToSubChecks(contentProvider)
subChecks = check2SubChecks.checkToSubChecks(checkId)
check2Sinks = CheckToSinks(contentProvider)
sinks = check2Sinks.checkToSink(checkId)
print sinks
if not sinks:
print 'No sinks.'
sys.exit()
modelCreator = DataFlowModelCreator(contentProvider)
overlayCreator = CheckOverlayCreator(contentProvider)
for sink in sinks:
sinkSymbol, callSiteId = sink
if 'log' in sinkSymbol: continue
print sinkSymbol
modelCreator.createDataFlowModels(sinkSymbol, callSiteId)
models = modelCreator.getModels()
overlayCreator.createForModels(models, subChecks)
models = overlayCreator.getModels()
converter = ModelToQuery()
for query in [converter.convert(model) for model in models]:
print query
def run(self, sinkSymbol):
contentProvider = DBContentsProvider()
modelCreator = DataFlowModelCreator(contentProvider)
modelCreator.setSourceDistInCluster(0.2)
modelCreator.setInvocDistInCluster(3)
modelCreator.setMinNumMemersInInvocCluster(4)
modelCreator.setTopnInvocClusters(10000)
modelCreator.createDataFlowModels(sinkSymbol)
models = modelCreator.getModels()
overlayCreator = CheckOverlayCreator(contentProvider)
overlayCreator.setMinCondObserved(3) # <- changed from 4
overlayCreator.setMinFracChecks(10) # <- changed from 10 # NOT USED!
overlayCreator.setTopnCheckHist(10) # <- changed from 10
overlayCreator.createForModels(models)
models = overlayCreator.getModels()
modelPrinter = ModelPrinter()
# modelPrinter.printSummary(models)
# modelPrinter.printAll(models)
converter = ModelToQuery()
for model in models:
query = converter.convert(model)
# print 'ClusterId: ' + str(model.clusterId)
print query