def match_and_append(self, compiled_matchers, om, found, rm):
for c_matcher in compiled_matchers:
if c_matcher['ignoreParametersWhenModeling']:
fullname = om.procName
params = None
else:
fullname = (om.procName + ' ' + om.parameters).rstrip()
params = om.parameters
if not c_matcher['regex_search_function'](fullname):
continue
om.setOSProcessClass = c_matcher['getPrimaryDmdId']
om.id = self.prepId(getProcessIdentifier(om.procName, params))
if om.id not in found:
found[om.id] = True
rm.append(om)
# Stop once a match is found.
return
def match_and_append(self, compiled_matchers, om, found, rm):
for c_matcher in compiled_matchers:
if c_matcher['ignoreParametersWhenModeling']:
fullname = om.procName
params = None
else:
fullname = (om.procName + ' ' + om.parameters).rstrip()
params = om.parameters
if not c_matcher['regex_search_function'](fullname):
continue
om.setOSProcessClass = c_matcher['getPrimaryDmdId']
om.id = self.prepId(getProcessIdentifier(om.procName, params))
if om.id not in found:
found[om.id] = True
rm.append(om)
# Stop once a match is found.
return
def onSuccess(self, results, config):
data = self.new_data()
datasource_by_pid = {}
metrics_by_component = collections.defaultdict(
lambda: collections.defaultdict(list))
# Used for process restart checking.
if not hasattr(self, 'previous_pids_by_component'):
self.previous_pids_by_component = collections.defaultdict(set)
pids_by_component = collections.defaultdict(set)
sorted_datasource = sorted(config.datasources,
key=lambda x: x.params.get('sequence', 0))
# Win32_Process: Counts and correlation to performance table.
process_key = [x for x in results if 'Win32_Process' in x.wql][0]
for item in results[process_key]:
processText = get_processText(item)
for datasource in sorted_datasource:
regex = re.compile(datasource.params['regex'])
# Zenoss 4.2 2013-10-15 RPS style.
if 'replacement' in datasource.params:
matcher = OSProcessDataMatcher(
includeRegex=datasource.params['includeRegex'],
excludeRegex=datasource.params['excludeRegex'],
replaceRegex=datasource.params['replaceRegex'],
replacement=datasource.params['replacement'],
primaryUrlPath=datasource.params['primaryUrlPath'],
generatedId=datasource.params['generatedId'])
if not matcher.matches(processText):
continue
# Zenoss 4.2 intermediate style
elif hasattr(OSProcess, 'matchRegex'):
excludeRegex = re.compile(
datasource.params['excludeRegex'])
basic_match = OSProcess.matchRegex(regex, excludeRegex,
processText)
if not basic_match:
continue
capture_match = OSProcess.matchNameCaptureGroups(
regex, processText, datasource.component)
if not capture_match:
continue
# Zenoss 4.1-4.2 style.
else:
if datasource.params['ignoreParameters']:
processText = item.ExecutablePath or item.Name
name, args = get_processNameAndArgs(item)
if datasource.params['ignoreParameters']:
proc_id = getProcessIdentifier(name, None)
else:
proc_id = getProcessIdentifier(name, args)
if datasource.component != prepId(proc_id):
continue
datasource_by_pid[item.ProcessId] = datasource
pids_by_component[datasource.component].add(item.ProcessId)
# Track process count. Append 1 each time we find a
# match because the generic aggregator below will sum
# them up to the total count.
metrics_by_component[
datasource.component][COUNT_DATAPOINT].append(1)
# Don't continue matching once a match is found.
break
# Send process status events.
for datasource in config.datasources:
component = datasource.component
if COUNT_DATAPOINT in metrics_by_component[component]:
severity = 0
summary = 'matching processes running'
# Process restart checking.
previous_pids = self.previous_pids_by_component.get(component)
current_pids = pids_by_component.get(component)
# No restart if there are no current or previous PIDs.
# previous PIDs.
if previous_pids and current_pids:
# Only consider PID changes a restart if all PIDs
# matching the process changed.
if current_pids.isdisjoint(previous_pids):
summary = 'matching processes restarted'
# If the process is configured to alert on
# restart, the first "up" won't be a clear.
if datasource.params['alertOnRestart']:
severity = datasource.params['severity']
else:
severity = datasource.params['severity']
summary = 'no matching processes running'
# Add a 0 count for process that aren't running.
metrics_by_component[component][COUNT_DATAPOINT].append(0)
data['events'].append({
'device': datasource.device,
'component': component,
'eventClass': datasource.eventClass,
'eventGroup': 'Process',
'summary': summary,
'severity': severity,
})
# Prepare for next cycle's restart check by merging current
# process PIDs with previous. This is to catch restarts that
# stretch across more than subsequent cycles.
self.previous_pids_by_component.update(
(c, p) for c, p in pids_by_component.iteritems() if p)
# Win32_PerfFormattedData_PerfProc_Process: Datapoints.
perf_keys = [x for x in results if 'Win32_Perf' in x.wql]
if perf_keys:
for item in results[perf_keys[0]]:
if item.IDProcess not in datasource_by_pid:
continue
datasource = datasource_by_pid[item.IDProcess]
for point in datasource.points:
if point.id == COUNT_DATAPOINT:
continue
try:
value = int(getattr(item, point.id))
except (TypeError, ValueError):
LOG.warn("%s %s %s: Couldn't convert %r to integer",
datasource.device, datasource.component,
point.id, value)
except AttributeError:
LOG.warn("%s %s: %s not in result", datasource.device,
datasource.component, point.id)
else:
metrics_by_component[datasource.component][
point.id].append(value)
# Aggregate and store datapoint values.
for component, points in metrics_by_component.iteritems():
for point, values in points.iteritems():
if point in NON_AGGREGATED_DATAPOINTS:
value = values[0]
else:
value = sum(values)
data['values'][component][point] = (value, 'N')
# Send overall clear.
data['events'].append({
'device': config.id,
'severity': Event.Clear,
'eventClass': Status_OSProcess,
'summary': 'process scan successful',
})
generateClearAuthEvents(config, data['events'])
return data
def onSuccess(self, results, config):
data = self.new_data()
datasource_by_pid = {}
metrics_by_component = collections.defaultdict(
lambda: collections.defaultdict(list))
# Used for process restart checking.
if not hasattr(self, 'previous_pids_by_component'):
self.previous_pids_by_component = collections.defaultdict(set)
pids_by_component = collections.defaultdict(set)
# Win32_Process: Counts and correlation to performance table.
process_key = [x for x in results if 'Win32_Process' in x.wql][0]
for item in results[process_key]:
processText = get_processText(item)
for datasource in config.datasources:
regex = re.compile(datasource.params['regex'])
# Zenoss 4.2 2013-10-15 RPS style.
if 'replacement' in datasource.params:
matcher = OSProcessDataMatcher(
includeRegex=datasource.params['includeRegex'],
excludeRegex=datasource.params['excludeRegex'],
replaceRegex=datasource.params['replaceRegex'],
replacement=datasource.params['replacement'],
primaryUrlPath=datasource.params['primaryUrlPath'],
generatedId=datasource.params['generatedId'])
if not matcher.matches(processText):
continue
# Zenoss 4.2 intermediate style
elif hasattr(OSProcess, 'matchRegex'):
excludeRegex = re.compile(
datasource.params['excludeRegex'])
basic_match = OSProcess.matchRegex(
regex, excludeRegex, processText)
if not basic_match:
continue
capture_match = OSProcess.matchNameCaptureGroups(
regex, processText, datasource.component)
if not capture_match:
continue
# Zenoss 4.1-4.2 style.
else:
if datasource.params['ignoreParameters']:
processText = item.ExecutablePath or item.Name
name, args = get_processNameAndArgs(item)
if datasource.params['ignoreParameters']:
proc_id = getProcessIdentifier(name, None)
else:
proc_id = getProcessIdentifier(name, args)
if datasource.component != prepId(proc_id):
continue
datasource_by_pid[item.ProcessId] = datasource
pids_by_component[datasource.component].add(item.ProcessId)
# Track process count. Append 1 each time we find a
# match because the generic aggregator below will sum
# them up to the total count.
metrics_by_component[datasource.component][COUNT_DATAPOINT].append(1)
# Send process status events.
for datasource in config.datasources:
component = datasource.component
if COUNT_DATAPOINT in metrics_by_component[component]:
severity = 0
summary = 'matching processes running'
# Process restart checking.
previous_pids = self.previous_pids_by_component.get(component)
current_pids = pids_by_component.get(component)
# No restart if there are no current or previous PIDs.
# previous PIDs.
if previous_pids and current_pids:
# Only consider PID changes a restart if all PIDs
# matching the process changed.
if current_pids.isdisjoint(previous_pids):
summary = 'matching processes restarted'
# If the process is configured to alert on
# restart, the first "up" won't be a clear.
if datasource.params['alertOnRestart']:
severity = datasource.params['severity']
else:
severity = datasource.params['severity']
summary = 'no matching processes running'
# Add a 0 count for process that aren't running.
metrics_by_component[component][COUNT_DATAPOINT].append(0)
data['events'].append({
'device': datasource.device,
'component': component,
'eventClass': datasource.eventClass,
'eventGroup': 'Process',
'summary': summary,
'severity': severity,
})
# Prepare for next cycle's restart check by merging current
# process PIDs with previous. This is to catch restarts that
# stretch across more than subsequent cycles.
self.previous_pids_by_component.update(
(c, p) for c, p in pids_by_component.iteritems() if p)
# Win32_PerfFormattedData_PerfProc_Process: Datapoints.
perf_key = [x for x in results if 'Win32_Perf' in x.wql][0]
for item in results[perf_key]:
if item.IDProcess not in datasource_by_pid:
continue
datasource = datasource_by_pid[item.IDProcess]
for point in datasource.points:
if point.id == COUNT_DATAPOINT:
continue
try:
value = int(getattr(item, point.id))
except (TypeError, ValueError):
LOG.warn(
"%s %s %s: Couldn't convert %r to integer",
datasource.device, datasource.component, point.id,
value)
except AttributeError:
LOG.warn(
"%s %s: %s not in result",
datasource.device, datasource.component, point.id)
else:
metrics_by_component[datasource.component][point.id].append(value)
# Aggregate and store datapoint values.
for component, points in metrics_by_component.iteritems():
for point, values in points.iteritems():
if point in NON_AGGREGATED_DATAPOINTS:
value = values[0]
else:
value = sum(values)
data['values'][component][point] = (value, 'N')
# Send overall clear.
data['events'].append({
'device': config.id,
'severity': Event.Clear,
'eventClass': Status_OSProcess,
'summary': 'process scan successful',
})
return data