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https://github.com/open-telemetry/opentelemetry-python-contrib.git
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78874df5c2
* Fix install of Python 3.10 on GitHub Actions In PR #1604 the Python version was upgraded to Python 3.10 to fix a local issue on M1 MacBooks. The GitHub Action workflows now exit with the following message for the docker-tests, spellcheck and lint checks, skipping these checks. ``` lint create: /home/runner/work/opentelemetry-python-contrib/opentelemetry-python-contrib/.tox/lint SKIPPED: InterpreterNotFound: python3.10 ___________________________________ summary ____________________________________ SKIPPED: lint: InterpreterNotFound: python3.10 congratulations :) ``` Upgrade the Python version in the GitHub Actions workflow to fix this. * Fix YAML interpretation of Python 3.10 * Upgrade Docker tests dependencies Upgrade the asyncpg and psycopg2 packages, they don't work on Python 3.10. This also fixes running these tests no M1 MacBooks. * Fix linter issues merged into main They went unnoticed while the CI didn't fail on the lint task not working. --------- Co-authored-by: Srikanth Chekuri <srikanth.chekuri92@gmail.com>
115 lines
3.1 KiB
Python
115 lines
3.1 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 logging
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import random
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import sys
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import time
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from logging import INFO
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import psutil
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from opentelemetry import metrics
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from opentelemetry.exporter.prometheus_remote_write import (
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PrometheusRemoteWriteMetricsExporter,
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)
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from opentelemetry.metrics import Observation
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from opentelemetry.sdk.metrics import MeterProvider
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from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
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logging.basicConfig(stream=sys.stdout, level=logging.INFO)
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logger = logging.getLogger(__name__)
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testing_labels = {"environment": "testing"}
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exporter = PrometheusRemoteWriteMetricsExporter(
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endpoint="http://cortex:9009/api/prom/push",
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headers={"X-Scope-Org-ID": "5"},
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)
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reader = PeriodicExportingMetricReader(exporter, 1000)
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provider = MeterProvider(metric_readers=[reader])
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metrics.set_meter_provider(provider)
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meter = metrics.get_meter(__name__)
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# Callback to gather cpu usage
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def get_cpu_usage_callback(observer):
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for number, percent in enumerate(psutil.cpu_percent(percpu=True)):
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labels = {"cpu_number": str(number)}
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yield Observation(percent, labels)
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# Callback to gather RAM usage
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def get_ram_usage_callback(observer):
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ram_percent = psutil.virtual_memory().percent
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yield Observation(ram_percent, {})
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requests_counter = meter.create_counter(
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name="requests",
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description="number of requests",
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unit="1",
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)
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request_min_max = meter.create_counter(
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name="requests_min_max",
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description="min max sum count of requests",
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unit="1",
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)
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request_last_value = meter.create_counter(
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name="requests_last_value",
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description="last value number of requests",
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unit="1",
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)
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requests_active = meter.create_up_down_counter(
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name="requests_active",
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description="number of active requests",
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unit="1",
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)
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meter.create_observable_counter(
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callbacks=[get_ram_usage_callback],
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name="ram_usage",
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description="ram usage",
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unit="1",
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)
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meter.create_observable_up_down_counter(
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callbacks=[get_cpu_usage_callback],
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name="cpu_percent",
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description="per-cpu usage",
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unit="1",
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)
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request_latency = meter.create_histogram("request_latency")
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# Load generator
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num = random.randint(0, 1000)
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while True:
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# counters
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requests_counter.add(num % 131 + 200, testing_labels)
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request_min_max.add(num % 181 + 200, testing_labels)
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request_last_value.add(num % 101 + 200, testing_labels)
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# updown counter
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requests_active.add(num % 7231 + 200, testing_labels)
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request_latency.record(num % 92, testing_labels)
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logger.log(level=INFO, msg="completed metrics collection cycle")
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time.sleep(1)
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num += 9791
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