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Add InMemoryMetricReader to metrics SDK
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aabmass committed Mar 18, 2022
1 parent 09a03ae commit 24561c6
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2 changes: 2 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -12,6 +12,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
([#2525](https://github.com/open-telemetry/opentelemetry-python/pull/2525))
- Change OTLPHandler to LoggingHandler
([#2528](https://github.com/open-telemetry/opentelemetry-python/pull/2528))
- Add InMemoryMetricReader to metrics SDK
([#2540](https://github.com/open-telemetry/opentelemetry-python/pull/2540))

## [1.10.0-0.29b0](https://github.com/open-telemetry/opentelemetry-python/releases/tag/v1.10.0-0.29b0) - 2022-03-10

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from enum import Enum
from os import environ, linesep
from sys import stdout
from threading import Event, Thread
from typing import IO, Callable, Iterable, Optional, Sequence
from threading import Event, RLock, Thread
from typing import IO, Callable, Iterable, List, Optional, Sequence

from opentelemetry.context import (
_SUPPRESS_INSTRUMENTATION_KEY,
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pass


class InMemoryMetricReader(MetricReader):
"""Implementation of :class:`MetricReader` that returns its metrics from :func:`metrics`.
This is useful for e.g. unit tests.
"""

def __init__(self) -> None:
super().__init__()
self._lock = RLock()
self._metrics: List[Metric] = []

def get_metrics(self) -> List[Metric]:
with self._lock:
self.collect()
metrics = self._metrics
self._metrics = []
return metrics

def _receive_metrics(self, metrics: Iterable[Metric]):
"""Called by `MetricReader.collect` when it receives a batch of metrics"""
with self._lock:
self._metrics = list(metrics)

def shutdown(self) -> None:
pass


class PeriodicExportingMetricReader(MetricReader):
"""`PeriodicExportingMetricReader` is an implementation of `MetricReader`
that collects metrics based on a user-configurable time interval, and passes the
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76 changes: 76 additions & 0 deletions opentelemetry-sdk/tests/metrics/test_in_memory_metric_reader.py
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# Copyright The OpenTelemetry Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from unittest import TestCase
from unittest.mock import Mock

from opentelemetry._metrics.measurement import Measurement
from opentelemetry.sdk._metrics import MeterProvider
from opentelemetry.sdk._metrics.export import InMemoryMetricReader
from opentelemetry.sdk._metrics.point import (
AggregationTemporality,
Metric,
Sum,
)
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.util.instrumentation import InstrumentationInfo


class TestInMemoryMetricReader(TestCase):
def test_no_metrics(self):
mock_collect_callback = Mock(return_value=[])
reader = InMemoryMetricReader()
reader._set_collect_callback(mock_collect_callback)
self.assertEqual(reader.get_metrics(), [])
mock_collect_callback.assert_called_once()

def test_converts_metrics_to_list(self):
metric = Metric(
attributes={"myattr": "baz"},
description="",
instrumentation_info=InstrumentationInfo("testmetrics"),
name="foo",
resource=Resource.create(),
unit="",
point=Sum(
start_time_unix_nano=1647626444152947792,
time_unix_nano=1647626444153163239,
value=72.3309814450449,
aggregation_temporality=AggregationTemporality.CUMULATIVE,
is_monotonic=True,
),
)
mock_collect_callback = Mock(return_value=(metric,))
reader = InMemoryMetricReader()
reader._set_collect_callback(mock_collect_callback)

returned_metrics = reader.get_metrics()
mock_collect_callback.assert_called_once()
self.assertIsInstance(returned_metrics, list)
self.assertEqual(len(returned_metrics), 1)
self.assertIs(returned_metrics[0], metric)

def test_integration(self):
reader = InMemoryMetricReader()
meter = MeterProvider(metric_readers=[reader]).get_meter("test_meter")
counter1 = meter.create_counter("counter1")
meter.create_observable_gauge(
"observable_gauge1", lambda: [Measurement(value=12)]
)
counter1.add(1, {"foo": "1"})
counter1.add(1, {"foo": "2"})

metrics = reader.get_metrics()
# should be 3 metrics, one from the observable gauge and one for each labelset from the counter
self.assertEqual(len(metrics), 3)

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