def generateProfiles(self, name, txnRepo, classifier):
"""
Generates profiles for the current profile session
:param txnRepo: Repository of loaded transactions
:param classifier: Predicate to classify transactions into different categories
"""
from xpedite.profiler.profile import Profiles, Profile
txnTree, benchmarkCompositeTree = self.buildTxnTree(txnRepo, classifier)
profiles = Profiles(name, txnRepo)
for category, categoryNode in txnTree.getChildren().items():
i = 1
for route, txnNode in categoryNode.children.items():
routeName = ' [route - {}]'.format(i) if len(categoryNode.children) > 1 else ''
profileName = '{} - {}{}'.format(name, category, routeName)
begin = time.time()
LOGGER.info('generating profile %s (txns - %d) -> ', profileName, len(txnNode.collection))
benchmarkTxnsMap = benchmarkCompositeTree.getCollectionMap([category, route])
reportProbes = self.mapReportProbes(route, txnRepo.getCurrent().probes)
timelineStats, benchmarkTimelineStats = self.computeStats(
txnRepo, category, route, reportProbes, txnNode.collection, benchmarkTxnsMap
)
profiles.addProfile(Profile(profileName, timelineStats, benchmarkTimelineStats))
elapsed = time.time() - begin
LOGGER.completed('completed in %0.2f sec.', elapsed)
i += 1
return profiles
def copyProfileLayout(srcProfile, category, route):
"""
Creates a new Profile, cloning layout from a source profile
:param srcProfile: Source profile to clone
:param route: Route of transactions in the new profile
:param category: Category of transactions in the new profile
"""
profile = Profile(
srcProfile.name, current=Conflator.createTimelineStats(srcProfile.current, category, route), benchmarks={}
)
return profile
def filterProfile(self, srcProfile):
"""
Filters timelines from a source profile
:param srcProfile: source profile to be filtered
"""
current = self.filterTimelineStats(srcProfile.current)
if not current:
return None
dstProfile = Profile(srcProfile.name, current, {})
for name, tls in srcProfile.benchmarks.iteritems():
filteredtls = self.filterTimelineStats(tls)
if filteredtls:
dstProfile.benchmarks.update({name: filteredtls})
return dstProfile