class DataStore:
'''The Datastore object stores all of the metric data
as well as summary data for all data sources. It is
a singleton object which guarantees that all instances
of the object will produce the same data store. '''
_shared_state = {} #Storage for a singleton object
_initialized = False
lock = thread.allocate_lock()
def __init__(self):
# Replace the objects attributes with the original
# attributes and data.
self.__dict__ = DataStore._shared_state
# Make sure that the DataStore object is only initialized once.
if not DataStore._initialized:
# Allocate a lock that will be used by all threads
# that are reading or writing to the data store.
self.lock = thread.allocate_lock()
self.lock.acquire()
self.rootElement = None
# Initialize the data store with the GANGLIA_XML and GRID tags.
# Data store should never be completely empty. Even if there are
# no reporting data sources the web front end depends on having
# at least a GANGLIA_XML tag and a nested GRID tag.
cfg = getConfig()
self.setNode(
Element('GANGLIA_XML', {
'VERSION': cfg.VERSION,
'SOURCE': 'gmetad'
}))
self.setNode(
Element(
'GRID', {
'NAME': cfg[GmetadConfig.GRIDNAME],
'AUTHORITY': cfg[GmetadConfig.AUTHORITY],
'LOCALTIME': '%d' % time.time()
}), self.rootElement)
self.lock.release()
# Start up the grid summary thread.
self.gridSummary = DataStoreGridSummary()
self.gridSummary.start()
# Start up the plugin notifier.
self.notifier = GmetadNotifier()
self.notifier.start()
DataStore._initialized = True
def _doGridSummary(self, gridNode):
'''This private function will calculate the summaries for a
single grid. It is called each time new data
has been read for a specific grid. All summary data
is placed in the summaryData dictionary. '''
self.acquireLock(self)
# Clear out the summaryData from the last run and initialize
# the dictionary for new summaries.
gridNode.summaryData = {}
gridNode.summaryData['summary'] = {}
gridNode.summaryData['hosts_up'] = 0
gridNode.summaryData['hosts_down'] = 0
gridUp = (gridNode.getAttr('status') == 'up')
summaryTime = int(time.time())
# Summarize over each host contained by the cluster
for clusterNode in gridNode:
# Assume that cluster is up if we get a clusterNode object
clusterUp = True
for hostNode in clusterNode:
reportedTime = summaryTime
# Sum up the status of all of the hosts
if 'HOST' == hostNode.id:
# Calculate the difference between the last known reported time
# and the current time. This determines if the host is up or down
# ** There may still be some issues with the way that this calculation is done
# ** The metric node below may also have the same issues.
reportedTime = int(hostNode.getAttr('reported'))
tn = int(hostNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
hostNode.setAttr('tn', str(tn))
else:
hostNode.lastReportedTime = reportedTime
try:
if clusterUp and (int(hostNode.getAttr('tn')) <
int(hostNode.getAttr('tmax')) * 4):
gridNode.summaryData['hosts_up'] += 1
else:
gridNode.summaryData['hosts_down'] += 1
except AttributeError:
pass
except KeyError:
pass
# Summarize over each metric within a host
for metricNode in hostNode:
tn = int(metricNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
metricNode.setAttr('tn', str(tn))
# Don't include metrics that can not be summarized
if metricNode.getAttr('type') in ['string', 'timestamp']:
continue
try:
# Pull the existing summary node from the summary data
# dictionary. If one doesn't exist, add it in the exception.
summaryNode = gridNode.summaryData['summary'][str(
metricNode)]
currSum = summaryNode.getAttr('sum')
summaryNode.incAttr('sum',
float(metricNode.getAttr('val')))
except KeyError:
# Since summary metrics use a different tag, create the new
# summary node with correct tag.
summaryNode = metricNode.summaryCopy(tag='METRICS')
# Initialize the first summary value and change the data type
# to double for all metric summaries
summaryNode.setAttr('sum',
float(metricNode.getAttr('val')))
summaryNode.setAttr('type', 'double')
# Add the summary node to the summary dictionary
gridNode.summaryData['summary'][str(
summaryNode)] = summaryNode
summaryNode.incAttr('num', 1)
self.releaseLock(self)
def _doClusterSummary(self, clusterNode):
'''This private function will calculate the summaries for a
single cluster. It is called each time that new data
has been read for a specific cluster. All summary data
is placed in the summaryData dictionary. '''
self.acquireLock(self)
# Clear out the summaryData from the last run and initialize
# the dictionary for new summaries.
clusterNode.summaryData = {}
clusterNode.summaryData['summary'] = {}
clusterNode.summaryData['hosts_up'] = 0
clusterNode.summaryData['hosts_down'] = 0
clusterUp = (clusterNode.getAttr('status') == 'up')
summaryTime = int(time.time())
# Summarize over each host contained by the cluster
for hostNode in clusterNode:
reportedTime = summaryTime
# Sum up the status of all of the hosts
if 'HOST' == hostNode.id:
# Calculate the difference between the last known reported time
# and the current time. This determines if the host is up or down
# ** There may still be some issues with the way that this calculation is done
# ** The metric node below may also have the same issues.
reportedTime = int(hostNode.getAttr('reported'))
tn = int(hostNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
hostNode.setAttr('tn', str(tn))
else:
hostNode.lastReportedTime = reportedTime
try:
if clusterUp and (int(hostNode.getAttr('tn')) <
int(hostNode.getAttr('tmax')) * 4):
clusterNode.summaryData['hosts_up'] += 1
else:
clusterNode.summaryData['hosts_down'] += 1
except AttributeError:
pass
except KeyError:
pass
# Summarize over each metric within a host
for metricNode in hostNode:
tn = int(metricNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if metricNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
metricNode.setAttr('tn', str(tn))
# Don't include metrics that can not be summarized
if metricNode.getAttr('type') in ['string', 'timestamp']:
continue
try:
# Pull the existing summary node from the summary data
# dictionary. If one doesn't exist, add it in the exception.
summaryNode = clusterNode.summaryData['summary'][str(
metricNode)]
currSum = summaryNode.getAttr('sum')
summaryNode.incAttr('sum',
float(metricNode.getAttr('val')))
except KeyError:
# Since summary metrics use a different tag, create the new
# summary node with correct tag.
summaryNode = metricNode.summaryCopy(tag='METRICS')
# Initialize the first summary value and change the data type
# to double for all metric summaries
summaryNode.setAttr('sum',
float(metricNode.getAttr('val')))
summaryNode.setAttr('type', 'double')
# Add the summary node to the summary dictionary
clusterNode.summaryData['summary'][str(
summaryNode)] = summaryNode
summaryNode.incAttr('num', 1)
self.releaseLock(self)
def shutdown(self):
# Shut down the notifier and the grid summary threads
self.notifier.shutdown()
self.gridSummary.shutdown()
def setNode(self, node, parent=None):
''' Add a new node to the data store in the appropriate
position in the tree. '''
if parent is None:
# If there isn't a root node, the new node becomes the root
if self.rootElement is None:
self.rootElement = node
return self.rootElement
if str(node) in parent.children:
try:
node.children = parent[str(node)].children
except AttributeError:
pass
try:
node.summaryData = parent[str(node)].summaryData
except AttributeError:
pass
# Add the new node as a child of the parent
parent[str(node)] = node
return parent[str(node)]
def getNode(self, ancestry=[]):
''' Find a node in the data store based on a node path '''
# If no path was given, just return the root node.
if not len(ancestry):
return self.rootElement
node = None
# Follow the path given in the ancestry list until the
# correct node is found.
while ancestry:
nodeId = ancestry.pop(0)
if node is None:
if nodeId == str(self.rootElement):
node = self.rootElement
else:
return None
else:
try:
node = node[nodeId]
except KeyError:
pass
return node
def updateFinished(self, clusterNode):
''' This method is called when the gmond reader has finished updating
a cluster. It indicates that a summary can be done over the
entire cluster and then the cluster transaction needs to be
entered and passed to the plugins. '''
if clusterNode is not None:
if 'CLUSTER' == clusterNode.id:
self._doClusterSummary(clusterNode)
if 'GRID' == clusterNode.id:
self._doGridSummary(clusterNode)
self.notifier.insertTransaction(clusterNode)
def acquireLock(self, obj):
''' Acquire a data store lock. '''
self.lock.acquire()
logging.debug('DataStore lock acquired %s' % str(obj))
def releaseLock(self, obj):
''' Release the data store lock. '''
self.lock.release()
logging.debug('DataStore lock released%s' % str(obj))
class DataStore:
'''The Datastore object stores all of the metric data
as well as summary data for all data sources. It is
a singleton object which guarantees that all instances
of the object will produce the same data store. '''
_shared_state = {} #Storage for a singleton object
_initialized = False
lock = thread.allocate_lock()
def __init__(self):
# Replace the objects attributes with the original
# attributes and data.
self.__dict__ = DataStore._shared_state
# Make sure that the DataStore object is only initialized once.
if not DataStore._initialized:
# Allocate a lock that will be used by all threads
# that are reading or writing to the data store.
self.lock = thread.allocate_lock()
self.lock.acquire()
self.rootElement = None
# Initialize the data store with the GANGLIA_XML and GRID tags.
# Data store should never be completely empty. Even if there are
# no reporting data sources the web front end depends on having
# at least a GANGLIA_XML tag and a nested GRID tag.
cfg = getConfig()
self.setNode(Element('GANGLIA_XML', {'VERSION':cfg.VERSION, 'SOURCE':'gmetad'}))
self.setNode(Element('GRID', {'NAME':cfg[GmetadConfig.GRIDNAME], 'AUTHORITY':cfg[GmetadConfig.AUTHORITY], 'LOCALTIME':'%d' % time.time()}), self.rootElement)
self.lock.release()
# Start up the grid summary thread.
self.gridSummary = DataStoreGridSummary()
self.gridSummary.start()
# Start up the plugin notifier.
self.notifier = GmetadNotifier()
self.notifier.start()
DataStore._initialized = True
def _doGridSummary(self, gridNode):
'''This private function will calculate the summaries for a
single grid. It is called each time new data
has been read for a specific grid. All summary data
is placed in the summaryData dictionary. '''
self.acquireLock(self)
# Clear out the summaryData from the last run and initialize
# the dictionary for new summaries.
gridNode.summaryData = {}
gridNode.summaryData['summary'] = {}
gridNode.summaryData['hosts_up'] = 0
gridNode.summaryData['hosts_down'] = 0
gridUp = (gridNode.getAttr('status') == 'up')
summaryTime = int(time.time())
# Summarize over each host contained by the cluster
for clusterNode in gridNode:
# Assume that cluster is up if we get a clusterNode object
clusterUp = True
for hostNode in clusterNode:
reportedTime = summaryTime
# Sum up the status of all of the hosts
if 'HOST' == hostNode.id:
# Calculate the difference between the last known reported time
# and the current time. This determines if the host is up or down
# ** There may still be some issues with the way that this calculation is done
# ** The metric node below may also have the same issues.
reportedTime = int(hostNode.getAttr('reported'))
tn = int(hostNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
hostNode.setAttr('tn', str(tn))
else:
hostNode.lastReportedTime = reportedTime
try:
if clusterUp and (int(hostNode.getAttr('tn')) < int(hostNode.getAttr('tmax'))*4):
gridNode.summaryData['hosts_up'] += 1
else:
gridNode.summaryData['hosts_down'] += 1
except AttributeError:
pass
except KeyError:
pass
# Summarize over each metric within a host
for metricNode in hostNode:
tn = int(metricNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
metricNode.setAttr('tn', str(tn))
# Don't include metrics that can not be summarized
if metricNode.getAttr('type') in ['string', 'timestamp']:
continue
try:
# Pull the existing summary node from the summary data
# dictionary. If one doesn't exist, add it in the exception.
summaryNode = gridNode.summaryData['summary'][str(metricNode)]
currSum = summaryNode.getAttr('sum')
summaryNode.incAttr('sum', float(metricNode.getAttr('val')))
except KeyError:
# Since summary metrics use a different tag, create the new
# summary node with correct tag.
summaryNode = metricNode.summaryCopy(tag='METRICS')
# Initialize the first summary value and change the data type
# to double for all metric summaries
summaryNode.setAttr('sum', float(metricNode.getAttr('val')))
summaryNode.setAttr('type', 'double')
# Add the summary node to the summary dictionary
gridNode.summaryData['summary'][str(summaryNode)] = summaryNode
summaryNode.incAttr('num', 1)
self.releaseLock(self)
def _doClusterSummary(self, clusterNode):
'''This private function will calculate the summaries for a
single cluster. It is called each time that new data
has been read for a specific cluster. All summary data
is placed in the summaryData dictionary. '''
self.acquireLock(self)
# Clear out the summaryData from the last run and initialize
# the dictionary for new summaries.
clusterNode.summaryData = {}
clusterNode.summaryData['summary'] = {}
clusterNode.summaryData['hosts_up'] = 0
clusterNode.summaryData['hosts_down'] = 0
clusterUp = (clusterNode.getAttr('status') == 'up')
summaryTime = int(time.time())
# Summarize over each host contained by the cluster
for hostNode in clusterNode:
reportedTime = summaryTime
# Sum up the status of all of the hosts
if 'HOST' == hostNode.id:
# Calculate the difference between the last known reported time
# and the current time. This determines if the host is up or down
# ** There may still be some issues with the way that this calculation is done
# ** The metric node below may also have the same issues.
reportedTime = int(hostNode.getAttr('reported'))
tn = int(hostNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
hostNode.setAttr('tn', str(tn))
else:
hostNode.lastReportedTime = reportedTime
try:
if clusterUp and (int(hostNode.getAttr('tn')) < int(hostNode.getAttr('tmax'))*4):
clusterNode.summaryData['hosts_up'] += 1
else:
clusterNode.summaryData['hosts_down'] += 1
except AttributeError:
pass
except KeyError:
pass
# Summarize over each metric within a host
for metricNode in hostNode:
tn = int(metricNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if metricNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
metricNode.setAttr('tn', str(tn))
# Don't include metrics that can not be summarized
if metricNode.getAttr('type') in ['string', 'timestamp']:
continue
try:
# Pull the existing summary node from the summary data
# dictionary. If one doesn't exist, add it in the exception.
summaryNode = clusterNode.summaryData['summary'][str(metricNode)]
currSum = summaryNode.getAttr('sum')
summaryNode.incAttr('sum', float(metricNode.getAttr('val')))
except KeyError:
# Since summary metrics use a different tag, create the new
# summary node with correct tag.
summaryNode = metricNode.summaryCopy(tag='METRICS')
# Initialize the first summary value and change the data type
# to double for all metric summaries
summaryNode.setAttr('sum', float(metricNode.getAttr('val')))
summaryNode.setAttr('type', 'double')
# Add the summary node to the summary dictionary
clusterNode.summaryData['summary'][str(summaryNode)] = summaryNode
summaryNode.incAttr('num', 1)
self.releaseLock(self)
def shutdown(self):
# Shut down the notifier and the grid summary threads
self.notifier.shutdown()
self.gridSummary.shutdown()
def setNode(self, node, parent=None):
''' Add a new node to the data store in the appropriate
position in the tree. '''
if parent is None:
# If there isn't a root node, the new node becomes the root
if self.rootElement is None:
self.rootElement = node
return self.rootElement
if str(node) in parent.children:
try:
node.children = parent[str(node)].children
except AttributeError:
pass
try:
node.summaryData = parent[str(node)].summaryData
except AttributeError:
pass
# Add the new node as a child of the parent
parent[str(node)] = node
return parent[str(node)]
def getNode(self, ancestry=[]):
''' Find a node in the data store based on a node path '''
# If no path was given, just return the root node.
if not len(ancestry):
return self.rootElement
node = None
# Follow the path given in the ancestry list until the
# correct node is found.
while ancestry:
nodeId = ancestry.pop(0)
if node is None:
if nodeId == str(self.rootElement):
node = self.rootElement
else: return None
else:
try:
node = node[nodeId]
except KeyError:
pass
return node
def updateFinished(self, clusterNode):
''' This method is called when the gmond reader has finished updating
a cluster. It indicates that a summary can be done over the
entire cluster and then the cluster transaction needs to be
entered and passed to the plugins. '''
if clusterNode is not None:
if 'CLUSTER' == clusterNode.id:
self._doClusterSummary(clusterNode);
if 'GRID' == clusterNode.id:
self._doGridSummary(clusterNode)
self.notifier.insertTransaction(clusterNode)
def acquireLock(self, obj):
''' Acquire a data store lock. '''
self.lock.acquire()
logging.debug('DataStore lock acquired %s'%str(obj))
def releaseLock(self, obj):
''' Release the data store lock. '''
self.lock.release()
logging.debug('DataStore lock released%s'%str(obj))
class DataStore:
'''The Datastore object stores all of the metric data
as well as summary data for all data sources. It is
a singleton object which guarantees that all instances
of the object will produce the same data store. '''
_shared_state = {} #Storage for a singleton object
_initialized = False
lock = thread.allocate_lock()
def __init__(self):
# Replace the objects attributes with the original
# attributes and data.
self.__dict__ = DataStore._shared_state
# Make sure that the DataStore object is only initialized once.
if not DataStore._initialized:
# Allocate a lock that will be used by all threads
# that are reading or writing to the data store.
self.lock = thread.allocate_lock()
self.lock.acquire()
self.rootElement = None
# Initialize the data store with the GANGLIA_XML and GRID tags.
# Data store should never be completely empty. Even if there are
# no reporting data sources the web front end depends on having
# at least a GANGLIA_XML tag and a nested GRID tag.
cfg = getConfig()
self.setNode(Element('GANGLIA_XML', {'VERSION':cfg.VERSION, 'SOURCE':'gmetad'}))
self.setNode(Element('GRID', {'NAME':cfg[GmetadConfig.GRIDNAME], 'AUTHORITY':cfg[GmetadConfig.AUTHORITY], 'LOCALTIME':'%d' % time.time()}), self.rootElement)
self.lock.release()
# Start up the grid summary thread.
self.gridSummary = DataStoreGridSummary()
self.gridSummary.start()
# Start up the plugin notifier.
self.notifier = GmetadNotifier()
self.notifier.start()
DataStore._initialized = True
def _doGridSummary(self, gridNode):
'''This private function will calculate the summaries for a
single grid. It is called each time new data
has been read for a specific grid. All summary data
is placed in the summaryData dictionary. '''
self.acquireLock(self)
# Clear out the summaryData from the last run and initialize
# the dictionary for new summaries.
gridNode.summaryData = {}
gridNode.summaryData['summary'] = {}
gridNode.summaryData['hosts_up'] = 0
gridNode.summaryData['hosts_down'] = 0
gridUp = (gridNode.getAttr('status') == 'up')
summaryTime = int(time.time())
# Summarize over each host contained by the cluster
for clusterNode in gridNode:
# Assume that cluster is up if we get a clusterNode object
clusterUp = True
for hostNode in clusterNode:
reportedTime = summaryTime
# Sum up the status of all of the hosts
if 'HOST' == hostNode.id:
# Calculate the difference between the last known reported time
# and the current time. This determines if the host is up or down
# ** There may still be some issues with the way that this calculation is done
# ** The metric node below may also have the same issues.
reportedTime = int(hostNode.getAttr('reported'))
tn = int(hostNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
hostNode.setAttr('tn', str(tn))
else:
hostNode.lastReportedTime = reportedTime
try:
if clusterUp and (int(hostNode.getAttr('tn')) < int(hostNode.getAttr('tmax'))*4):
gridNode.summaryData['hosts_up'] += 1
else:
gridNode.summaryData['hosts_down'] += 1
except AttributeError:
pass
except KeyError:
pass
# Summarize over each metric within a host
for metricNode in hostNode:
tn = int(metricNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
metricNode.setAttr('tn', str(tn))
# Don't include metrics that can not be summarized
if metricNode.getAttr('type') in ['string', 'timestamp']:
continue
try:
# Pull the existing summary node from the summary data
# dictionary. If one doesn't exist, add it in the exception.
summaryNode = gridNode.summaryData['summary'][str(metricNode)]
currSum = summaryNode.getAttr('sum')
summaryNode.incAttr('sum', float(metricNode.getAttr('val')))
except KeyError:
# Since summary metrics use a different tag, create the new
# summary node with correct tag.
summaryNode = metricNode.summaryCopy(tag='METRICS')
# Initialize the first summary value and change the data type
# to double for all metric summaries
summaryNode.setAttr('sum', float(metricNode.getAttr('val')))
summaryNode.setAttr('type', 'double')
# Add the summary node to the summary dictionary
gridNode.summaryData['summary'][str(summaryNode)] = summaryNode
summaryNode.incAttr('num', 1)
self.releaseLock(self)
def _doClusterSummary(self, clusterNode):
'''This private function will calculate the summaries for a
single cluster. It is called each time that new data
has been read for a specific cluster. All summary data
is placed in the summaryData dictionary. '''
self.acquireLock(self)
# Clear out the summaryData from the last run and initialize
# the dictionary for new summaries.
clusterNode.summaryData = {}
clusterNode.summaryData['summary'] = {}
clusterNode.summaryData['hosts_up'] = 0
clusterNode.summaryData['hosts_down'] = 0
clusterUp = (clusterNode.getAttr('status') == 'up')
summaryTime = int(time.time())
# Summarize over each host contained by the cluster
for hostNode in clusterNode:
reportedTime = summaryTime
# Sum up the status of all of the hosts
if 'HOST' == hostNode.id:
# Calculate the difference between the last known reported time
# and the current time. This determines if the host is up or down
# ** There may still be some issues with the way that this calculation is done
# ** The metric node below may also have the same issues.
reportedTime = int(hostNode.getAttr('reported'))
tn = int(hostNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if hostNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
hostNode.setAttr('tn', str(tn))
else:
hostNode.lastReportedTime = reportedTime
try:
if clusterUp and (int(hostNode.getAttr('tn')) < int(hostNode.getAttr('tmax'))*4):
clusterNode.summaryData['hosts_up'] += 1
else:
clusterNode.summaryData['hosts_down'] += 1
except AttributeError:
pass
except KeyError:
pass
# Summarize over each metric within a host
for metricNode in hostNode:
tn = int(metricNode.getAttr('tn'))
# If the last reported time is the same as the current reported time, then
# the host has not been updated. Therefore calculate the time offset from
# the current time.
if metricNode.lastReportedTime == reportedTime:
tn = summaryTime - reportedTime
if tn < 0: tn = 0
metricNode.setAttr('tn', str(tn))
# Don't include metrics that can not be summarized
if metricNode.getAttr('type') in ['string', 'timestamp']:
continue
try:
# Pull the existing summary node from the summary data
# dictionary. If one doesn't exist, add it in the exception.
summaryNode = clusterNode.summaryData['summary'][str(metricNode)]
currSum = summaryNode.getAttr('sum')
try :
summaryNode.incAttr('sum', float(metricNode.getAttr('val')))
except ValueError, msg:
print str(msg) + " sum: " + metricNode.getAttr('val')
except KeyError:
# Since summary metrics use a different tag, create the new
# summary node with correct tag.
summaryNode = metricNode.summaryCopy(tag='METRICS')
# Initialize the first summary value and change the data type
# to double for all metric summaries
try :
summaryNode.setAttr('sum', float(metricNode.getAttr('val')))
summaryNode.setAttr('type', 'double')
except ValueError, msg:
print str(msg) + " sum: " + metricNode.getAttr('val')
# Add the summary node to the summary dictionary
clusterNode.summaryData['summary'][str(summaryNode)] = summaryNode
summaryNode.incAttr('num', 1)
self.releaseLock(self)