def test_basic_custom_metrics(metric_mock): # Make sure each of metric works as expected. # -- Count -- count = Count("count", tag_keys=("a", )) with pytest.raises(TypeError): count.inc("hi") with pytest.raises(ValueError): count.inc(0) count.inc(-1) count._metric = metric_mock count.record(1, {"a": "1"}) metric_mock.record.assert_called_with(1, tags={"a": "1"}) # -- Gauge -- gauge = Gauge("gauge", description="gauge") gauge._metric = metric_mock gauge.record(4) metric_mock.record.assert_called_with(4, tags={}) # -- Histogram histogram = Histogram( "hist", description="hist", boundaries=[1.0, 3.0], tag_keys=("a", "b")) histogram._metric = metric_mock tags = {"a": "10", "b": "b"} histogram.record(8, tags=tags) metric_mock.record.assert_called_with(8, tags=tags)
def test_basic_custom_metrics(metric_mock): # Make sure each of metric works as expected. # -- Count -- count = Count("count", tag_keys=("a", )) count._metric = metric_mock count.record(1) metric_mock.record.assert_called_with(1, tags={}) # -- Gauge -- gauge = Gauge("gauge", description="gauge") gauge._metric = metric_mock gauge.record(4) metric_mock.record.assert_called_with(4, tags={}) # -- Histogram histogram = Histogram("hist", description="hist", boundaries=[1.0, 3.0], tag_keys=("a", "b")) histogram._metric = metric_mock histogram.record(4) metric_mock.record.assert_called_with(4, tags={}) tags = {"a": "3"} histogram.record(10, tags=tags) metric_mock.record.assert_called_with(10, tags=tags) tags = {"a": "10", "b": "b"} histogram.record(8, tags=tags) metric_mock.record.assert_called_with(8, tags=tags)
class MyActor: def __init__(self, name): self._curr_count = 0 self.counter = Counter( "num_requests", description="Number of requests processed by the actor.", tag_keys=("actor_name", )) self.counter.set_default_tags({"actor_name": name}) self.gauge = Gauge( "curr_count", description="Current count held by the actor. Goes up and down.", tag_keys=("actor_name", )) self.gauge.set_default_tags({"actor_name": name}) self.histogram = Histogram("request_latency", description="Latencies of requests in ms.", boundaries=[0.1, 1], tag_keys=("actor_name", )) self.histogram.set_default_tags({"actor_name": name}) def process_request(self, num): start = time.time() self._curr_count += num # Increment the total request count. self.counter.inc() # Update the gauge to the new value. self.gauge.set(self._curr_count) # Record the latency for this request in ms. self.histogram.observe(1000 * (time.time() - start)) return self._curr_count
def __init__( self, gauges: List[str], histograms: List[Tuple[str, List[int]]], ): self.counts = {m: 0 for m in gauges} self.gauges = {m: Gauge(m) for m in gauges} self.reset_gauges() self.histograms = {m: Histogram(m, boundaries=b) for m, b in histograms} logging_utils.init()
def __init__(self, name): self._curr_count = 0 self.counter = Counter( "num_requests", description="Number of requests processed by the actor.", tag_keys=("actor_name", )) self.counter.set_default_tags({"actor_name": name}) self.gauge = Gauge( "curr_count", description="Current count held by the actor. Goes up and down.", tag_keys=("actor_name", )) self.gauge.set_default_tags({"actor_name": name}) self.histogram = Histogram("request_latency", description="Latencies of requests in ms.", boundaries=[0.1, 1], tag_keys=("actor_name", )) self.histogram.set_default_tags({"actor_name": name})