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})
