def check(self): self._updateComponentsInfo() for processDetail, measurements in zip(self._components, self._compMeasurements): try: PeriodPoller.check(self, processDetail, measurements) except psutil.error.NoSuchProcess as ex: logging.warn("Observed process or its child process(es) disappeared, " "update at the next polling attempt, reason: %s." % ex)
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 check(self): """ Above, the database server psutil.Process instance creation may have failed. Proceed with checking only if the instance exists. """ if self._dbProcessDetail: try: PeriodPoller.check(self, self._dbProcessDetail, self._measurements) except psutil.error.NoSuchProcess as ex: logging.warn(ex) logging.warn("Updating info about the polled process ...") self._setUp()
def check(self): """ Above, the database server psutil.Process instance creation may have failed. Proceed with checking only if the instance exists. """ if self._dbProcessDetail: try: PeriodPoller.check(self, self._dbProcessDetail, self._measurements) except NoSuchProcess as ex: logging.warn(ex) logging.warn("Updating info about the polled process ...") self._setUp()
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)
def check(self): PeriodPoller.check(self, None, self._measurements)
def check(self): for processDetail, measurements in zip(self._components, self._compMeasurements): PeriodPoller.check(self, processDetail, measurements)
def check(self): self._updateComponentsInfo() for processDetail, measurements in zip(self._components, self._compMeasurements): PeriodPoller.check(self, processDetail, measurements)