def testPeriodPollerOnRealProcess(self):
config = getConfig("/tmp")
config.component_("AlertProcessor")
config.AlertProcessor.section_("critical")
config.AlertProcessor.section_("soft")
config.AlertProcessor.critical.level = 5
config.AlertProcessor.soft.level = 0
config.component_("AlertGenerator")
config.AlertGenerator.section_("bogusPoller")
config.AlertGenerator.bogusPoller.soft = 5 # [percent]
# the way the worker is implemented should take 100% CPU, but it sometimes
# take a while, test safer threshold here, testing thresholds
# more rigorously happens in Pollers_t
config.AlertGenerator.bogusPoller.critical = 50 # [percent]
config.AlertGenerator.bogusPoller.pollInterval = 0.2 # [second]
# period during which measurements are collected before evaluating for possible alert triggering
config.AlertGenerator.bogusPoller.period = 1
generator = utils.AlertGeneratorMock(config)
poller = PeriodPoller(config.AlertGenerator.bogusPoller, generator)
poller.sender = utils.SenderMock()
# get CPU usage percentage, it's like measuring CPU usage of a real
# component, so use the appropriate poller's method for that
# (PeriodPoller itself is higher-level class so it doesn't define
# a method to provide sampling data)
poller.sample = lambda processDetail: ComponentsCPUPoller.sample(processDetail)
p = utils.getProcess()
self.testProcesses.append(p)
while not p.is_alive():
time.sleep(0.2)
name = "mytestprocess-testPeriodPollerBasic"
pd = ProcessDetail(p.pid, name)
# need to repeat sampling required number of measurements
numOfMeasurements = int(config.AlertGenerator.bogusPoller.period /
config.AlertGenerator.bogusPoller.pollInterval)
mes = Measurements(numOfMeasurements)
self.assertEqual(len(mes), 0)
for i in range(mes._numOfMeasurements):
poller.check(pd, mes)
# 1 alert should have arrived, test it
# though there may be a second alert as well if the test managed to
# run second round - don't test number of received alerts
# also the Level and threshold is not deterministic: given it's
# measured on a live process it can't be determined up-front how
# much CPU this simple process will be given: don't test Level
# and threshold
a = poller.sender.queue[0]
self.assertEqual(a["Component"], generator.__class__.__name__)
self.assertEqual(a["Source"], poller.__class__.__name__)
d = a["Details"]
self.assertEqual(d["numMeasurements"], mes._numOfMeasurements)
self.assertEqual(d["component"], name)
self.assertEqual(d["period"], config.AlertGenerator.bogusPoller.period)
# since the whole measurement cycle was done, values should have been nulled
self.assertEqual(len(mes), 0)
def testPeriodPollerCalculationPredefinedInput(self):
config = getConfig("/tmp")
config.component_("AlertProcessor")
config.AlertProcessor.section_("critical")
config.AlertProcessor.section_("soft")
config.AlertProcessor.critical.level = 5
config.AlertProcessor.soft.level = 0
config.component_("AlertGenerator")
config.AlertGenerator.section_("bogusPoller")
# put some threshold numbers, just need to check output calculation
# from check() method
config.AlertGenerator.bogusPoller.soft = 5 # [percent]
config.AlertGenerator.bogusPoller.critical = 50 # [percent]
config.AlertGenerator.bogusPoller.pollInterval = 0.2 # [second]
config.AlertGenerator.bogusPoller.period = 1
generator = utils.AlertGeneratorMock(config)
poller = PeriodPoller(config.AlertGenerator.bogusPoller, generator)
# since poller may trigger an alert, give it mock sender
poller.sender = utils.SenderMock()
# provide sample method with predefined input, float
predefInput = 10.12
poller.sample = lambda processDetail: predefInput
processDetail = None
numOfMeasurements = int(config.AlertGenerator.bogusPoller.period /
config.AlertGenerator.bogusPoller.pollInterval)
mes = Measurements(numOfMeasurements)
for i in range(mes._numOfMeasurements):
poller.check(processDetail, mes)
# the above loop should went 5 times, should reach evaluation of 5 x predefInput
# values, the average should end up 10, which should trigger soft threshold
self.assertEqual(len(poller.sender.queue), 1)
a = poller.sender.queue[0]
self.assertEqual(a["Component"], generator.__class__.__name__)
self.assertEqual(a["Source"], poller.__class__.__name__)
d = a["Details"]
self.assertEqual(d["threshold"],
"%s%%" % config.AlertGenerator.bogusPoller.soft)
self.assertEqual(d["numMeasurements"], mes._numOfMeasurements)
self.assertEqual(d["period"], config.AlertGenerator.bogusPoller.period)
self.assertEqual(d["average"], "%s%%" % predefInput)
# since the whole measurement cycle was done, values should have been nulled
self.assertEqual(len(mes), 0)
def testPeriodPollerCalculationPredefinedInput(self):
config = getConfig("/tmp")
config.component_("AlertProcessor")
config.AlertProcessor.section_("critical")
config.AlertProcessor.section_("soft")
config.AlertProcessor.critical.level = 5
config.AlertProcessor.soft.level = 0
config.component_("AlertGenerator")
config.AlertGenerator.section_("bogusPoller")
# put some threshold numbers, just need to check output calculation
# from check() method
config.AlertGenerator.bogusPoller.soft = 5 # [percent]
config.AlertGenerator.bogusPoller.critical = 50 # [percent]
config.AlertGenerator.bogusPoller.pollInterval = 0.2 # [second]
config.AlertGenerator.bogusPoller.period = 1
generator = utils.AlertGeneratorMock(config)
poller = PeriodPoller(config.AlertGenerator.bogusPoller, generator)
# since poller may trigger an alert, give it mock sender
poller.sender = utils.SenderMock()
# provide sample method with predefined input, float
predefInput = 10.12
poller.sample = lambda processDetail: predefInput
processDetail = None
numOfMeasurements = int(config.AlertGenerator.bogusPoller.period /
config.AlertGenerator.bogusPoller.pollInterval)
mes = Measurements(numOfMeasurements)
for i in range(mes._numOfMeasurements):
poller.check(processDetail, mes)
# the above loop should went 5 times, should reach evaluation of 5 x predefInput
# values, the average should end up 10, which should trigger soft threshold
self.assertEqual(len(poller.sender.queue), 1)
a = poller.sender.queue[0]
self.assertEqual(a["Component"], generator.__class__.__name__)
self.assertEqual(a["Source"], poller.__class__.__name__)
d = a["Details"]
self.assertEqual(d["threshold"], "%s%%" % config.AlertGenerator.bogusPoller.soft)
self.assertEqual(d["numMeasurements"], mes._numOfMeasurements)
self.assertEqual(d["period"], config.AlertGenerator.bogusPoller.period)
self.assertEqual(d["average"], "%s%%" % predefInput)
# since the whole measurement cycle was done, values should have been nulled
self.assertEqual(len(mes), 0)
def testPeriodPollerOnRealProcess(self):
config = getConfig("/tmp")
config.component_("AlertProcessor")
config.AlertProcessor.section_("critical")
config.AlertProcessor.section_("soft")
config.AlertProcessor.critical.level = 5
config.AlertProcessor.soft.level = 0
config.component_("AlertGenerator")
config.AlertGenerator.section_("bogusPoller")
config.AlertGenerator.bogusPoller.soft = 5 # [percent]
config.AlertGenerator.bogusPoller.critical = 50 # [percent]
config.AlertGenerator.bogusPoller.pollInterval = 0.2 # [second]
# period during which measurements are collected before evaluating for
# possible alert triggering
config.AlertGenerator.bogusPoller.period = 1
generator = utils.AlertGeneratorMock(config)
poller = PeriodPoller(config.AlertGenerator.bogusPoller, generator)
poller.sender = utils.SenderMock()
# get CPU usage percentage, it's like measuring CPU usage of a real
# component, so use the appropriate poller's method for that
# (PeriodPoller itself is higher-level class so it doesn't define
# a method to provide sampling data)
poller.sample = lambda processDetail: ComponentsCPUPoller.sample(
processDetail)
# get own pid
pid = os.getpid()
name = inspect.stack()[0][3] # test name
pd = ProcessDetail(pid, name)
# need to repeat sampling required number of measurements
numOfMeasurements = int(config.AlertGenerator.bogusPoller.period /
config.AlertGenerator.bogusPoller.pollInterval)
mes = Measurements(numOfMeasurements)
self.assertEqual(len(mes), 0)
for i in range(mes._numOfMeasurements):
poller.check(pd, mes)
# since the whole measurement cycle was done, values should have been nulled
self.assertEqual(len(mes), 0)
def testPeriodPollerOnRealProcess(self):
config = getConfig("/tmp")
config.component_("AlertProcessor")
config.AlertProcessor.section_("critical")
config.AlertProcessor.section_("soft")
config.AlertProcessor.critical.level = 5
config.AlertProcessor.soft.level = 0
config.component_("AlertGenerator")
config.AlertGenerator.section_("bogusPoller")
config.AlertGenerator.bogusPoller.soft = 5 # [percent]
config.AlertGenerator.bogusPoller.critical = 50 # [percent]
config.AlertGenerator.bogusPoller.pollInterval = 0.2 # [second]
# period during which measurements are collected before evaluating for
# possible alert triggering
config.AlertGenerator.bogusPoller.period = 1
generator = utils.AlertGeneratorMock(config)
poller = PeriodPoller(config.AlertGenerator.bogusPoller, generator)
poller.sender = utils.SenderMock()
# get CPU usage percentage, it's like measuring CPU usage of a real
# component, so use the appropriate poller's method for that
# (PeriodPoller itself is higher-level class so it doesn't define
# a method to provide sampling data)
poller.sample = lambda processDetail: ComponentsCPUPoller.sample(processDetail)
# get own pid
pid = os.getpid()
name = inspect.stack()[0][3] # test name
pd = ProcessDetail(pid, name)
# need to repeat sampling required number of measurements
numOfMeasurements = int(config.AlertGenerator.bogusPoller.period /
config.AlertGenerator.bogusPoller.pollInterval)
mes = Measurements(numOfMeasurements)
self.assertEqual(len(mes), 0)
for i in range(mes._numOfMeasurements):
poller.check(pd, mes)
# since the whole measurement cycle was done, values should have been nulled
self.assertEqual(len(mes), 0)
