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add integration test for histogram and sum aggregator
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opentelemetry-sdk/tests/metrics/integration_test/test_histogram_export.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,90 +1,155 @@ | ||
| # 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 opentelemetry.sdk.metrics import MeterProvider | ||
| from opentelemetry.sdk.metrics.export import InMemoryMetricReader | ||
| from opentelemetry.sdk.resources import SERVICE_NAME, Resource | ||
|
|
||
|
|
||
| class TestHistogramExport(TestCase): | ||
| def test_histogram_counter_collection(self): | ||
|
|
||
| in_memory_metric_reader = InMemoryMetricReader() | ||
|
|
||
| provider = MeterProvider( | ||
| resource=Resource.create({SERVICE_NAME: "otel-test"}), | ||
| metric_readers=[in_memory_metric_reader], | ||
| ) | ||
|
|
||
| meter = provider.get_meter("my-meter") | ||
|
|
||
| histogram = meter.create_histogram("my_histogram") | ||
| counter = meter.create_counter("my_counter") | ||
| histogram.record(5, {"attribute": "value"}) | ||
| counter.add(1, {"attribute": "value_counter"}) | ||
|
|
||
| metric_data = in_memory_metric_reader.get_metrics_data() | ||
|
|
||
| self.assertEqual( | ||
| len(metric_data.resource_metrics[0].scope_metrics[0].metrics), 2 | ||
| ) | ||
|
|
||
| self.assertEqual( | ||
| ( | ||
| metric_data.resource_metrics[0] | ||
| .scope_metrics[0] | ||
| .metrics[0] | ||
| .data.data_points[0] | ||
| .bucket_counts | ||
| ), | ||
| (0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), | ||
| ) | ||
| self.assertEqual( | ||
| ( | ||
| metric_data.resource_metrics[0] | ||
| .scope_metrics[0] | ||
| .metrics[1] | ||
| .data.data_points[0] | ||
| .value | ||
| ), | ||
| 1, | ||
| ) | ||
|
|
||
| metric_data = in_memory_metric_reader.get_metrics_data() | ||
|
|
||
| self.assertEqual( | ||
| len(metric_data.resource_metrics[0].scope_metrics[0].metrics), 2 | ||
| ) | ||
| self.assertEqual( | ||
| ( | ||
| metric_data.resource_metrics[0] | ||
| .scope_metrics[0] | ||
| .metrics[0] | ||
| .data.data_points[0] | ||
| .bucket_counts | ||
| ), | ||
| (0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), | ||
| ) | ||
| self.assertEqual( | ||
| ( | ||
| metric_data.resource_metrics[0] | ||
| .scope_metrics[0] | ||
| .metrics[1] | ||
| .data.data_points[0] | ||
| .value | ||
| ), | ||
| 1, | ||
| ) | ||
| # 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 opentelemetry.sdk.metrics import MeterProvider | ||
| from opentelemetry.sdk.metrics.export import InMemoryMetricReader | ||
| from opentelemetry.sdk.resources import SERVICE_NAME, Resource | ||
| from opentelemetry.sdk.metrics._internal.exemplar import ( | ||
| AlwaysOffExemplarFilter, | ||
| AlwaysOnExemplarFilter, | ||
| TraceBasedExemplarFilter, | ||
| ) | ||
|
|
||
|
|
||
| class TestHistogramExport(TestCase): | ||
| def test_histogram_counter_collection(self): | ||
|
|
||
| in_memory_metric_reader = InMemoryMetricReader() | ||
|
|
||
| provider = MeterProvider( | ||
| resource=Resource.create({SERVICE_NAME: "otel-test"}), | ||
| metric_readers=[in_memory_metric_reader], | ||
| ) | ||
|
|
||
| meter = provider.get_meter("my-meter") | ||
|
|
||
| histogram = meter.create_histogram("my_histogram") | ||
| counter = meter.create_counter("my_counter") | ||
| histogram.record(5, {"attribute": "value"}) | ||
| counter.add(1, {"attribute": "value_counter"}) | ||
|
|
||
| metric_data = in_memory_metric_reader.get_metrics_data() | ||
|
|
||
| self.assertEqual( | ||
| len(metric_data.resource_metrics[0].scope_metrics[0].metrics), 2 | ||
| ) | ||
|
|
||
| self.assertEqual( | ||
| ( | ||
| metric_data.resource_metrics[0] | ||
| .scope_metrics[0] | ||
| .metrics[0] | ||
| .data.data_points[0] | ||
| .bucket_counts | ||
| ), | ||
| (0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), | ||
| ) | ||
| self.assertEqual( | ||
| ( | ||
| metric_data.resource_metrics[0] | ||
| .scope_metrics[0] | ||
| .metrics[1] | ||
| .data.data_points[0] | ||
| .value | ||
| ), | ||
| 1, | ||
| ) | ||
|
|
||
| metric_data = in_memory_metric_reader.get_metrics_data() | ||
|
|
||
| self.assertEqual( | ||
| len(metric_data.resource_metrics[0].scope_metrics[0].metrics), 2 | ||
| ) | ||
| self.assertEqual( | ||
| ( | ||
| metric_data.resource_metrics[0] | ||
| .scope_metrics[0] | ||
| .metrics[0] | ||
| .data.data_points[0] | ||
| .bucket_counts | ||
| ), | ||
| (0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), | ||
| ) | ||
| self.assertEqual( | ||
| ( | ||
| metric_data.resource_metrics[0] | ||
| .scope_metrics[0] | ||
| .metrics[1] | ||
| .data.data_points[0] | ||
| .value | ||
| ), | ||
| 1, | ||
| ) | ||
|
|
||
| def test_histogram_with_exemplars(self): | ||
|
|
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| in_memory_metric_reader = InMemoryMetricReader() | ||
|
|
||
| provider = MeterProvider( | ||
| resource=Resource.create({SERVICE_NAME: "otel-test"}), | ||
| metric_readers=[in_memory_metric_reader], | ||
| exemplar_filter=AlwaysOnExemplarFilter() | ||
| ) | ||
| meter = provider.get_meter("my-meter") | ||
| histogram = meter.create_histogram("my_histogram") | ||
|
|
||
| histogram.record(2, {"attribute": "value1"}) # Should go in the first bucket | ||
| histogram.record(7, {"attribute": "value2"}) # Should go in the second bucket | ||
| histogram.record(9, {"attribute": "value2"}) # Should also go in the second bucket | ||
| histogram.record(15, {"attribute": "value3"}) # Should go in the third bucket | ||
|
|
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| metric_data = in_memory_metric_reader.get_metrics_data() | ||
|
|
||
| self.assertEqual(len(metric_data.resource_metrics[0].scope_metrics[0].metrics), 1) | ||
| histogram_metric = metric_data.resource_metrics[0].scope_metrics[0].metrics[0] | ||
|
|
||
| self.assertEqual(len(histogram_metric.data.data_points), 3) | ||
|
|
||
| self.assertEqual(len(histogram_metric.data.data_points[0].exemplars), 1) | ||
| self.assertEqual(len(histogram_metric.data.data_points[1].exemplars), 1) | ||
| self.assertEqual(len(histogram_metric.data.data_points[2].exemplars), 1) | ||
|
|
||
| self.assertEqual(histogram_metric.data.data_points[0].sum, 2) | ||
| self.assertEqual(histogram_metric.data.data_points[1].sum, 16) | ||
| self.assertEqual(histogram_metric.data.data_points[2].sum, 15) | ||
|
|
||
| self.assertEqual(histogram_metric.data.data_points[0].exemplars[0].value, 2.0) | ||
| self.assertEqual(histogram_metric.data.data_points[1].exemplars[0].value, 9.0) | ||
| self.assertEqual(histogram_metric.data.data_points[2].exemplars[0].value, 15.0) | ||
|
|
||
| def test_filter_with_exemplars(self): | ||
| in_memory_metric_reader = InMemoryMetricReader() | ||
|
|
||
| provider = MeterProvider( | ||
| resource=Resource.create({SERVICE_NAME: "otel-test"}), | ||
| metric_readers=[in_memory_metric_reader], | ||
| exemplar_filter=AlwaysOffExemplarFilter() | ||
| ) | ||
| meter = provider.get_meter("my-meter") | ||
| histogram = meter.create_histogram("my_histogram") | ||
|
|
||
| histogram.record(2, {"attribute": "value1"}) # Should go in the first bucket | ||
| histogram.record(7, {"attribute": "value2"}) # Should go in the second bucket | ||
|
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| metric_data = in_memory_metric_reader.get_metrics_data() | ||
|
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||
| self.assertEqual(len(metric_data.resource_metrics[0].scope_metrics[0].metrics), 1) | ||
| histogram_metric = metric_data.resource_metrics[0].scope_metrics[0].metrics[0] | ||
|
|
||
| self.assertEqual(len(histogram_metric.data.data_points), 2) | ||
|
|
||
| self.assertEqual(len(histogram_metric.data.data_points[0].exemplars), 0) | ||
| self.assertEqual(len(histogram_metric.data.data_points[1].exemplars), 0) |
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