Add integration tests

Author: xrmx

opentelemetry-sdk/tests/metrics/integration_test/test_histogram_advisory_explicit_buckets.py

@@ -0,0 +1,104 @@
+# 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.metrics.view import (
+    ExplicitBucketHistogramAggregation,
+    View,
+)
+
+
+class TestHistogramAdvisory(TestCase):
+    def test_default(self):
+        reader = InMemoryMetricReader()
+        meter_provider = MeterProvider(
+            metric_readers=[reader],
+        )
+        meter = meter_provider.get_meter("testmeter")
+        histogram = meter.create_histogram(
+            "testhistogram", advisory={"explicit_bucket_boundaries": [1, 2, 3]}
+        )
+        histogram.record(1, {"label": "value"})
+        histogram.record(2, {"label": "value"})
+        histogram.record(3, {"label": "value"})
+
+        metrics = reader.get_metrics_data()
+        self.assertEqual(len(metrics.resource_metrics), 1)
+        self.assertEqual(len(metrics.resource_metrics[0].scope_metrics), 1)
+        self.assertEqual(
+            len(metrics.resource_metrics[0].scope_metrics[0].metrics), 1
+        )
+        metric = metrics.resource_metrics[0].scope_metrics[0].metrics[0]
+        self.assertEqual(metric.name, "testhistogram")
+        self.assertEqual(metric.data.data_points[0].explicit_bounds, (1, 2, 3))
+
+    def test_view_default_aggregation(self):
+        reader = InMemoryMetricReader()
+        view = View(instrument_name="testhistogram")
+        meter_provider = MeterProvider(
+            metric_readers=[reader],
+            views=[view],
+        )
+        meter = meter_provider.get_meter("testmeter")
+        histogram = meter.create_histogram(
+            "testhistogram", advisory={"explicit_bucket_boundaries": [1, 2, 3]}
+        )
+        histogram.record(1, {"label": "value"})
+        histogram.record(2, {"label": "value"})
+        histogram.record(3, {"label": "value"})
+
+        metrics = reader.get_metrics_data()
+        self.assertEqual(len(metrics.resource_metrics), 1)
+        self.assertEqual(len(metrics.resource_metrics[0].scope_metrics), 1)
+        self.assertEqual(
+            len(metrics.resource_metrics[0].scope_metrics[0].metrics), 1
+        )
+        metric = metrics.resource_metrics[0].scope_metrics[0].metrics[0]
+        self.assertEqual(metric.name, "testhistogram")
+        self.assertEqual(metric.data.data_points[0].explicit_bounds, (1, 2, 3))
+
+    def test_view_overrides_buckets(self):
+        reader = InMemoryMetricReader()
+        view = View(
+            instrument_name="testhistogram",
+            aggregation=ExplicitBucketHistogramAggregation(
+                boundaries=[10, 100, 1000]
+            ),
+        )
+        meter_provider = MeterProvider(
+            metric_readers=[reader],
+            views=[view],
+        )
+        meter = meter_provider.get_meter("testmeter")
+        histogram = meter.create_histogram(
+            "testhistogram", advisory={"explicit_bucket_boundaries": [1, 2, 3]}
+        )
+        histogram.record(1, {"label": "value"})
+        histogram.record(2, {"label": "value"})
+        histogram.record(3, {"label": "value"})
+
+        metrics = reader.get_metrics_data()
+        self.assertEqual(len(metrics.resource_metrics), 1)
+        self.assertEqual(len(metrics.resource_metrics[0].scope_metrics), 1)
+        self.assertEqual(
+            len(metrics.resource_metrics[0].scope_metrics[0].metrics), 1
+        )
+        metric = metrics.resource_metrics[0].scope_metrics[0].metrics[0]
+        self.assertEqual(metric.name, "testhistogram")
+        self.assertEqual(
+            metric.data.data_points[0].explicit_bounds, (10, 100, 1000)
+        )