def getModelsAnalysisResults(self, rPath):
chartNames = [
'cpu utilization', 'mem read', 'mem write', 'io read', 'io write',
'net read', 'net write', 'cpu power', 'mem power'
]
modelNames = ['cpu model', 'mem model', 'disk model', 'net model']
modelSummary = ['cpu model', 'mem model', 'disk model', 'net model']
modelMetrics = [['CPI', 'stalled-cycles-frontend(frontend cycles idle %)'], \
['cache-misses(% of all cache refs )', 'DTLB store MPI'], \
['IO_bandwidth_disk_or_network_reads(M/s)'], \
['IO_bandwidth_disk_or_network_reads(M/s)']]
manager = ResultManager()
rawDatas, rawUsages = manager.queryAppModelResult(rPath)
datas = []
count = 0
for items in rawDatas:
tmpList = []
for item in items:
tmpList.append([chartNames[count], item])
count += 1
datas.append(tmpList)
max = -1
modelIndex = -1
for i in range(len(rawUsages)):
if max < rawUsages[i]:
max = rawUsages[i]
modelIndex = i
modelName = modelNames[modelIndex]
datas.append(modelName)
datas.append(modelSummary[modelIndex])
metrics = manager.queryResultsByNames(rPath, modelMetrics[modelIndex])
datas.append(metrics)
return datas
def getModelsAnalysisResults(self, rPath):
chartNames = ['cpu utilization', 'mem read', 'mem write', 'io read', 'io write', 'net read', 'net write', 'cpu power', 'mem power']
modelNames = ['cpu model', 'mem model', 'disk model', 'net model']
modelSummary = ['cpu model', 'mem model', 'disk model', 'net model']
modelMetrics = [['CPI', 'stalled-cycles-frontend(frontend cycles idle %)'], \
['cache-misses(% of all cache refs )', 'DTLB store MPI'], \
['IO_bandwidth_disk_or_network_reads(M/s)'], \
['IO_bandwidth_disk_or_network_reads(M/s)']]
manager = ResultManager()
rawDatas, rawUsages = manager.queryAppModelResult(rPath)
datas = []
count = 0
for items in rawDatas:
tmpList = []
for item in items:
tmpList.append([chartNames[count], item])
count += 1
datas.append(tmpList)
max = -1
modelIndex = -1
for i in range(len(rawUsages)):
if max<rawUsages[i]:
max = rawUsages[i]
modelIndex = i
modelName = modelNames[modelIndex]
datas.append(modelName)
datas.append(modelSummary[modelIndex])
metrics = manager.queryResultsByNames(rPath, modelMetrics[modelIndex])
datas.append(metrics)
return datas
def getOverviewResults(self, rPaths):
tables = [('application performance',[], 0),('micro-arch performance',['CPI', 'cache-misses(% of all cache refs )', 'branch-misses(of all branches %)', 'mem Page Hits vs. all requests'], 0),('os level performance',['cswch/s','INTR_sum_intr/s','tps','IFACE_lo_rxkB/s','IFACE_lo_txkB/s','IFACE_eth0_rxkB/s','IFACE_eth0_txkB/s','IFACE_eth1_rxkB/s','IFACE_eth1_txkB/s'], 0),('application hotspots', [0,1,2,3,4], 1, 'hotspots')]
#init
results = []
for table in tables:
tableName = table[0]
tableItems = table[1]
tmpDatas = []
for item in tableItems:
tmpDatas.append([])
results.append((tableName, tmpDatas))
#fetch datas
for path in rPaths:
manager = ResultManager()
for i in range(len(tables)):
table = tables[i]
tableName = table[0]
tableItems = table[1]
type = table[2]
rawTableName = None
itemsResults = None
if type == 1:
rawTableName = table[3]
itemsResults = manager.queryResultsByIndexes(path, rawTableName, tableItems)
else:
itemsResults = manager.queryResultsByNames(path, tableItems)
for j in range(len(itemsResults)):
if not results[i][1][j]: results[i][1][j].append(itemsResults[j][0])
results[i][1][j].append(itemsResults[j][1])
return results
def getSingleResultOverview(self, rPath):
items = [
'cache-misses(% of all cache refs )',
'branch-misses(of all branches %)', 'task-clock(CPUs utilized )',
'LLC-misses(of all LL-cache hits %)', 'CPI',
'L1-dcache-misses(of all L1-dcache hits %)'
]
manager = ResultManager()
datas = manager.queryResultsByNames(rPath, items)
return datas
def getAnalysisResult(self, rPaths, metrics=None, formula=None):
datas = []
manager = ResultManager()
for rPath in rPaths:
if formula:
value = manager.queryResultByFormula(rPath, formula, metrics)
else:
value = manager.queryResultsByNames(rPath, metrics)[0][1]
datas.append(value)
return datas
def getAnalysisResult(self, rPaths, metrics=None, formula=None):
datas = []
manager = ResultManager()
for rPath in rPaths:
if formula:
value = manager.queryResultByFormula(rPath, formula, metrics)
else:
value = manager.queryResultsByNames(rPath, metrics)[0][1]
datas.append(value)
return datas
def getNMFAnalysisServiceResults(self, rPath):
manager = ResultManager(rootSubPath='/AllSource/ServerOutputService', tailSubPath='/ServerFinal')
manager.getOutputResults(rPath)
results = manager.results
tmpStr = ''
if results:
result = results[0]
tmpStr = {'testFeatures': result.testBelongFeatures,\
'metrics': result.featureMetrics,\
'features': result.featureClasses,\
'tests': result.formatTestsDatas,\
'rawTests': result.rawTestsDatas}
return tmpStr
def getNMFAnalysisServiceInputs(self, rPath):
manager = ResultManager(rootSubPath='/AllSource/ServerOutputService', tailSubPath='/Final')
manager.getOutputResults(rPath)
rawDatas = []
rawMetricNames = []
allTestNames = []
results = manager.results
if results:
rawMetricNames = results[0].names
for result in results:
rawDatas.append(result.datas)
allTestNames.append(result.name)
return (rawDatas, rawMetricNames, allTestNames)
def getNMFAnalysisServiceResults(self, rPath):
manager = ResultManager(rootSubPath='/AllSource/ServerOutputService',
tailSubPath='/ServerFinal')
manager.getOutputResults(rPath)
results = manager.results
tmpStr = ''
if results:
result = results[0]
tmpStr = {'testFeatures': result.testBelongFeatures,\
'metrics': result.featureMetrics,\
'features': result.featureClasses,\
'tests': result.formatTestsDatas,\
'rawTests': result.rawTestsDatas}
return tmpStr
def getNMFAnalysisServiceInputs(self, rPath):
manager = ResultManager(rootSubPath='/AllSource/ServerOutputService',
tailSubPath='/Final')
manager.getOutputResults(rPath)
rawDatas = []
rawMetricNames = []
allTestNames = []
results = manager.results
if results:
rawMetricNames = results[0].names
for result in results:
rawDatas.append(result.datas)
allTestNames.append(result.name)
return (rawDatas, rawMetricNames, allTestNames)
def getResultsByEachTable(self, rPaths, tables, limits):
results = []
#init
for i in range(len(tables)):
tmpDatas = []
for j in range(limits[i][1]-limits[i][0]):
tmpDatas.append([])
results.append((tables[i], tables[i].replace(' ', ''), tmpDatas))
#get datas
for path in rPaths:
manager = ResultManager()
for i in range(len(tables)):
datas = manager.queryTable(path, tables[i], limits[i][0], limits[i][1])
for j in range(len(datas)):
if not results[i][2][j]: results[i][2][j].append(datas[j][0])
results[i][2][j].append(datas[j][1])
return results
def getOverviewResults(self, rPaths):
tables = [('application performance', [], 0),
('micro-arch performance', [
'CPI', 'cache-misses(% of all cache refs )',
'branch-misses(of all branches %)',
'mem Page Hits vs. all requests'
], 0),
('os level performance', [
'cswch/s', 'INTR_sum_intr/s', 'tps', 'IFACE_lo_rxkB/s',
'IFACE_lo_txkB/s', 'IFACE_eth0_rxkB/s',
'IFACE_eth0_txkB/s', 'IFACE_eth1_rxkB/s',
'IFACE_eth1_txkB/s'
], 0),
('application hotspots', [0, 1, 2, 3, 4], 1, 'hotspots')]
#init
results = []
for table in tables:
tableName = table[0]
tableItems = table[1]
tmpDatas = []
for item in tableItems:
tmpDatas.append([])
results.append((tableName, tmpDatas))
#fetch datas
for path in rPaths:
manager = ResultManager()
for i in range(len(tables)):
table = tables[i]
tableName = table[0]
tableItems = table[1]
type = table[2]
rawTableName = None
itemsResults = None
if type == 1:
rawTableName = table[3]
itemsResults = manager.queryResultsByIndexes(
path, rawTableName, tableItems)
else:
itemsResults = manager.queryResultsByNames(
path, tableItems)
for j in range(len(itemsResults)):
if not results[i][1][j]:
results[i][1][j].append(itemsResults[j][0])
results[i][1][j].append(itemsResults[j][1])
return results
def getResultsByEachTable(self, rPaths, tables, limits):
results = []
#init
for i in range(len(tables)):
tmpDatas = []
for j in range(limits[i][1] - limits[i][0]):
tmpDatas.append([])
results.append((tables[i], tables[i].replace(' ', ''), tmpDatas))
#get datas
for path in rPaths:
manager = ResultManager()
for i in range(len(tables)):
datas = manager.queryTable(path, tables[i], limits[i][0],
limits[i][1])
for j in range(len(datas)):
if not results[i][2][j]:
results[i][2][j].append(datas[j][0])
results[i][2][j].append(datas[j][1])
return results
def getSingleResultOverview(self, rPath):
items = ['cache-misses(% of all cache refs )', 'branch-misses(of all branches %)', 'task-clock(CPUs utilized )', 'LLC-misses(of all LL-cache hits %)', 'CPI', 'L1-dcache-misses(of all L1-dcache hits %)']
manager = ResultManager()
datas = manager.queryResultsByNames(rPath, items)
return datas
