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https://github.com/open-telemetry/opentelemetry-python-contrib.git
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110 lines
3.9 KiB
Python
110 lines
3.9 KiB
Python
# Copyright The OpenTelemetry Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import asyncio
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import functools
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import sys
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from unittest import skipIf
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from unittest.mock import patch
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# pylint: disable=no-name-in-module
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from opentelemetry.instrumentation.asyncio import AsyncioInstrumentor
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from opentelemetry.instrumentation.asyncio.environment_variables import (
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OTEL_PYTHON_ASYNCIO_TO_THREAD_FUNCTION_NAMES_TO_TRACE,
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)
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from opentelemetry.test.test_base import TestBase
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from opentelemetry.trace import get_tracer
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class TestAsyncioToThread(TestBase):
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@patch.dict(
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"os.environ",
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{OTEL_PYTHON_ASYNCIO_TO_THREAD_FUNCTION_NAMES_TO_TRACE: "multiply"},
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)
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def setUp(self):
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super().setUp()
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AsyncioInstrumentor().instrument()
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self._tracer = get_tracer(
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__name__,
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)
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def tearDown(self):
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super().tearDown()
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AsyncioInstrumentor().uninstrument()
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@skipIf(
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sys.version_info < (3, 9), "to_thread is only available in Python 3.9+"
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)
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def test_to_thread(self):
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def multiply(x, y):
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return x * y
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async def to_thread():
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result = await asyncio.to_thread(multiply, 2, 3)
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assert result == 6
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with self._tracer.start_as_current_span("root"):
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asyncio.run(to_thread())
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spans = self.memory_exporter.get_finished_spans()
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self.assertEqual(len(spans), 2)
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assert spans[0].name == "asyncio to_thread-multiply"
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for metric in (
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self.memory_metrics_reader.get_metrics_data()
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.resource_metrics[0]
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.scope_metrics[0]
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.metrics
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):
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if metric.name == "asyncio.process.duration":
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for point in metric.data.data_points:
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self.assertEqual(point.attributes["type"], "to_thread")
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self.assertEqual(point.attributes["name"], "multiply")
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if metric.name == "asyncio.process.created":
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for point in metric.data.data_points:
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self.assertEqual(point.attributes["type"], "to_thread")
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self.assertEqual(point.attributes["name"], "multiply")
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@skipIf(
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sys.version_info < (3, 9), "to_thread is only available in Python 3.9+"
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)
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def test_to_thread_partial_func(self):
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def multiply(x, y):
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return x * y
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double = functools.partial(multiply, 2)
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async def to_thread():
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result = await asyncio.to_thread(double, 3)
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assert result == 6
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with self._tracer.start_as_current_span("root"):
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asyncio.run(to_thread())
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spans = self.memory_exporter.get_finished_spans()
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self.assertEqual(len(spans), 2)
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assert spans[0].name == "asyncio to_thread-multiply"
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for metric in (
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self.memory_metrics_reader.get_metrics_data()
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.resource_metrics[0]
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.scope_metrics[0]
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.metrics
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):
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if metric.name == "asyncio.process.duration":
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for point in metric.data.data_points:
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self.assertEqual(point.attributes["type"], "to_thread")
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self.assertEqual(point.attributes["name"], "multiply")
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if metric.name == "asyncio.process.created":
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for point in metric.data.data_points:
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self.assertEqual(point.attributes["type"], "to_thread")
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self.assertEqual(point.attributes["name"], "multiply")
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