def test_create_counter_distribution(self): MetricsEnvironment.set_current_container(MetricsContainer('mystep')) counter_ns = 'aCounterNamespace' distro_ns = 'aDistributionNamespace' gauge_ns = 'aGaugeNamespace' name = 'a_name' counter = Metrics.counter(counter_ns, name) distro = Metrics.distribution(distro_ns, name) gauge = Metrics.gauge(gauge_ns, name) counter.inc(10) counter.dec(3) distro.update(10) distro.update(2) gauge.set(10) self.assertTrue(isinstance(counter, Metrics.DelegatingCounter)) self.assertTrue(isinstance(distro, Metrics.DelegatingDistribution)) self.assertTrue(isinstance(gauge, Metrics.DelegatingGauge)) del distro del counter del gauge container = MetricsEnvironment.current_container() self.assertEqual( container.counters[MetricName(counter_ns, name)].get_cumulative(), 7) self.assertEqual( container.distributions[MetricName(distro_ns, name)].get_cumulative(), DistributionData(12, 2, 2, 10)) self.assertEqual( container.gauges[MetricName(gauge_ns, name)].get_cumulative().value, 10)
def process(self, element): gauge = Metrics.gauge(self.__class__, 'latest_element') gauge.set(element) count = Metrics.counter(self.__class__, 'elements') count.inc() distro = Metrics.distribution(self.__class__, 'element_dist') distro.update(element) return [element]
def gauge(self, name: str, obj: Callable[[], int]) -> None: from apache_beam.metrics.metric import Metrics self._flink_gauge[name] = obj self._beam_gauge[name] = Metrics.gauge(self._get_namespace(), name)