def collectDataForCombinedGraphics(self, startTime, endTime, types):
"""
@summary : Returns a list of one ClientStatsPicklers
instance wich contains the combined data
of all the individual graphics.
@return : Returns a list of ONE ClientStatsPicklers
"""
dataCollection = []
statsCollection = PickleMerging.mergePicklesFromDifferentSources( logger = None , startTime = startTime, endTime = endTime,\
clients = self.clientNames, fileType = self.fileType,\
machines = self.machines, groupName = self.groupName )
combinedMachineName = ""
combinedMachineName = combinedMachineName.join(
[machine for machine in self.machines])
#Verifier params utiliser par cette ligne
dataCollection.append( StatsPickler( client = self.clientNames, statsTypes = types, directory = self.directory,\
statsCollection = statsCollection, machine = combinedMachineName,\
logger = None, logging = False ) )
return dataCollection
def getMergedData( clients, fileType, machines, startTime, endTime, groupName = "", logger = None ):
"""
This method returns all data comprised between startTime and endTime as
to be able to build pairs.
"""
if fileType == "tx":
types = [ "errors","bytecount","latency", ]
else:
types = [ "errors","bytecount" ]
#print startTime, endTime
if len( machines ) > 1 or len( clients) > 1:
statsCollection = PickleMerging.mergePicklesFromDifferentSources( logger = logger , startTime = startTime, endTime = endTime, clients = clients, fileType = fileType, machines = machines, groupName = groupName )
else:#only one machine, only merge different hours together
statsCollection = PickleMerging.mergePicklesFromDifferentHours( logger = logger , startTime = startTime, endTime = endTime, client = clients[0], fileType = fileType, machine = machines[0] )
combinedMachineName = ""
for machine in machines:
combinedMachineName = combinedMachineName + machine
dataCollector = StatsPickler( client = clients[0], statsTypes = types, directory = "", statsCollection = statsCollection, machine = combinedMachineName, logger = logger )
return dataCollector
def collectDataForCombinedGraphics( self, startTime, endTime, types ):
"""
@summary : Returns a list of one ClientStatsPicklers
instance wich contains the combined data
of all the individual graphics.
@return : Returns a list of ONE ClientStatsPicklers
"""
dataCollection = []
statsCollection = PickleMerging.mergePicklesFromDifferentSources( logger = None , startTime = startTime, endTime = endTime,\
clients = self.clientNames, fileType = self.fileType,\
machines = self.machines, groupName = self.groupName )
combinedMachineName = ""
combinedMachineName = combinedMachineName.join( [machine for machine in self.machines])
#Verifier params utiliser par cette ligne
dataCollection.append( StatsPickler( client = self.clientNames, statsTypes = types, directory = self.directory,\
statsCollection = statsCollection, machine = combinedMachineName,\
logger = None, logging = False ) )
return dataCollection
def getMergedData(clients,
fileType,
machines,
startTime,
endTime,
groupName="",
logger=None):
"""
This method returns all data comprised between startTime and endTime as
to be able to build pairs.
"""
if fileType == "tx":
types = [
"errors",
"bytecount",
"latency",
]
else:
types = ["errors", "bytecount"]
#print startTime, endTime
if len(machines) > 1 or len(clients) > 1:
statsCollection = PickleMerging.mergePicklesFromDifferentSources(
logger=logger,
startTime=startTime,
endTime=endTime,
clients=clients,
fileType=fileType,
machines=machines,
groupName=groupName)
else: #only one machine, only merge different hours together
statsCollection = PickleMerging.mergePicklesFromDifferentHours(
logger=logger,
startTime=startTime,
endTime=endTime,
client=clients[0],
fileType=fileType,
machine=machines[0])
combinedMachineName = ""
for machine in machines:
combinedMachineName = combinedMachineName + machine
dataCollector = StatsPickler(client=clients[0],
statsTypes=types,
directory="",
statsCollection=statsCollection,
machine=combinedMachineName,
logger=logger)
return dataCollector
def collectDataForIndividualGraphics(self, startTime, endTime, types):
#find parameters
"""
@summary : Returns a list of ClientStatsPicklers
instances, each of wich contains data
for all the individual graphics.
@return : List of ClientStatsPicklers instances.
"""
global _
dataCollection = []
for client in self.clientNames: #
#Gather data from all previously created pickles....
if self.logger != None:
try:
self.logger.debug(_("Call to mergeHourlyPickles."))
self.logger.debug(
_("Parameters used : %s %s %s") %
(startTime, endTime, client))
except:
pass
if len(self.machines) > 1:
clientArray = []
clientArray.append(client)
statsCollection = PickleMerging.mergePicklesFromDifferentSources( logger = None , startTime = startTime, endTime = endTime,\
clients = clientArray, fileType = self.fileType,\
machines = self.machines, groupName = self.groupName )
else: #only one machine, only merge different hours together
statsCollection = PickleMerging.mergePicklesFromDifferentHours( logger = None , startTime = startTime, endTime = endTime,\
client = client, fileType = self.fileType, machine = self.machines[0] )
combinedMachineName = ""
combinedMachineName = combinedMachineName.join(
[machine for machine in self.machines])
dataCollection.append( StatsPickler( client = self.clientNames, statsTypes = types, directory = self.directory,\
statsCollection = statsCollection, machine = combinedMachineName,\
logger = None, logging =False ) )
return dataCollection
def collectDataForIndividualGraphics( self, startTime, endTime, types ):
#find parameters
"""
@summary : Returns a list of ClientStatsPicklers
instances, each of wich contains data
for all the individual graphics.
@return : List of ClientStatsPicklers instances.
"""
global _
dataCollection = []
for client in self.clientNames : #
#Gather data from all previously created pickles....
if self.logger != None :
try:
self.logger.debug( _("Call to mergeHourlyPickles." ) )
self.logger.debug( _("Parameters used : %s %s %s") %( startTime, endTime, client ) )
except:
pass
if len( self.machines ) > 1 :
clientArray = []
clientArray.append(client)
statsCollection = PickleMerging.mergePicklesFromDifferentSources( logger = None , startTime = startTime, endTime = endTime,\
clients = clientArray, fileType = self.fileType,\
machines = self.machines, groupName = self.groupName )
else:#only one machine, only merge different hours together
statsCollection = PickleMerging.mergePicklesFromDifferentHours( logger = None , startTime = startTime, endTime = endTime,\
client = client, fileType = self.fileType, machine = self.machines[0] )
combinedMachineName = ""
combinedMachineName = combinedMachineName.join( [ machine for machine in self.machines] )
dataCollection.append( StatsPickler( client = self.clientNames, statsTypes = types, directory = self.directory,\
statsCollection = statsCollection, machine = combinedMachineName,\
logger = None, logging =False ) )
return dataCollection
