opensource/opentelemetry-python-contrib
1
0
Fork 0
mirror of https://github.com/open-telemetry/opentelemetry-python-contrib.git synced 2025-08-01 17:34:38 +08:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #73 from NathanielRN/move-instrumentation-system-metrics

Browse Source 
Move instrumentation system metrics
This commit is contained in:
alrex
2020-10-22 21:58:14 -07:00
committed by GitHub
parent 1db1ea6bdb 8ac7f2cbd6
commit 444619fe2e
10 changed files with 1774 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

30
instrumentation/opentelemetry-instrumentation-system-metrics/CHANGELOG.md Normal file
View File

@ -0,0 +1,30 @@
# Changelog
## Unreleased
## Version 0.14b0
Released 2020-10-13
- Fix issue when specific metrics are not available in certain OS
([#1207](https://github.com/open-telemetry/opentelemetry-python/pull/1207))
## Version 0.13b0
Released 2020-09-17
- Drop support for Python 3.4
([#1099](https://github.com/open-telemetry/opentelemetry-python/pull/1099))
## Version 0.12b0
Released 2020-08-14
- Change package name to opentelemetry-instrumentation-system-metrics
([#969](https://github.com/open-telemetry/opentelemetry-python/pull/969))
## 0.9b0
Released 2020-06-10
- Initial release (https://github.com/open-telemetry/opentelemetry-python/pull/652)

201
instrumentation/opentelemetry-instrumentation-system-metrics/LICENSE Normal file
View File

@ -0,0 +1,201 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
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.

9
instrumentation/opentelemetry-instrumentation-system-metrics/MANIFEST.in Normal file
View File

@ -0,0 +1,9 @@
graft src
graft tests
global-exclude *.pyc
global-exclude *.pyo
global-exclude __pycache__/*
include CHANGELOG.md
include MANIFEST.in
include README.rst
include LICENSE

24
instrumentation/opentelemetry-instrumentation-system-metrics/README.rst Normal file
View File

@ -0,0 +1,24 @@
OpenTelemetry System Metrics Instrumentation
============================================
|pypi|
.. |pypi| image:: https://badge.fury.io/py/opentelemetry-instrumentation-system-metrics.svg
:target: https://pypi.org/project/opentelemetry-instrumentation-system-metrics/
Instrumentation to collect system performance metrics.
Installation
------------
::
pip install opentelemetry-instrumentation-system-metrics
References
----------
* `OpenTelemetry System Metrics Instrumentation <https://opentelemetry-python.readthedocs.io/en/latest/instrumentation/system_metrics/system_metrics.html>`_
* `OpenTelemetry Project <https://opentelemetry.io/>`_

51
instrumentation/opentelemetry-instrumentation-system-metrics/setup.cfg Normal file
View File

@ -0,0 +1,51 @@
# 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.
#
[metadata]
name = opentelemetry-instrumentation-system-metrics
description = OpenTelemetry System Metrics Instrumentation
long_description = file: README.rst
long_description_content_type = text/x-rst
author = OpenTelemetry Authors
author_email = cncf-opentelemetry-contributors@lists.cncf.io
url = https://github.com/open-telemetry/opentelemetry-python/tree/master/instrumentation/opentelemetry-instrumentation-system-metrics
platforms = any
license = Apache-2.0
classifiers =
Development Status :: 4 - Beta
Intended Audience :: Developers
License :: OSI Approved :: Apache Software License
Programming Language :: Python
Programming Language :: Python :: 3
Programming Language :: Python :: 3.5
Programming Language :: Python :: 3.6
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
[options]
python_requires = >=3.5
package_dir=
=src
packages=find_namespace:
install_requires =
opentelemetry-api == 0.15.dev0
opentelemetry-sdk == 0.15.dev0
psutil ~= 5.7.0
[options.extras_require]
test =
opentelemetry-test == 0.15.dev0
[options.packages.find]
where = src

31
instrumentation/opentelemetry-instrumentation-system-metrics/setup.py Normal file
View File

@ -0,0 +1,31 @@
# 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.
import os
import setuptools
BASE_DIR = os.path.dirname(__file__)
VERSION_FILENAME = os.path.join(
BASE_DIR,
"src",
"opentelemetry",
"instrumentation",
"system_metrics",
"version.py",
)
PACKAGE_INFO = {}
with open(VERSION_FILENAME) as f:
exec(f.read(), PACKAGE_INFO)
setuptools.setup(version=PACKAGE_INFO["__version__"])

710
instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/__init__.py Normal file
View File

@ -0,0 +1,710 @@
# 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.
"""
Instrument to report system (CPU, memory, network) and
process (CPU, memory, garbage collection) metrics. By default, the
following metrics are configured:
.. code:: python
{
"system.cpu.time": ["idle", "user", "system", "irq"],
"system.cpu.utilization": ["idle", "user", "system", "irq"],
"system.memory.usage": ["used", "free", "cached"],
"system.memory.utilization": ["used", "free", "cached"],
"system.swap.usage": ["used", "free"],
"system.swap.utilization": ["used", "free"],
"system.disk.io": ["read", "write"],
"system.disk.operations": ["read", "write"],
"system.disk.time": ["read", "write"],
"system.disk.merged": ["read", "write"],
"system.network.dropped.packets": ["transmit", "receive"],
"system.network.packets": ["transmit", "receive"],
"system.network.errors": ["transmit", "receive"],
"system.network.io": ["trasmit", "receive"],
"system.network.connections": ["family", "type"],
"runtime.memory": ["rss", "vms"],
"runtime.cpu.time": ["user", "system"],
}
Usage
-----
.. code:: python
from opentelemetry import metrics
from opentelemetry.instrumentation.system_metrics import SystemMetrics
from opentelemetry.sdk.metrics import MeterProvider,
from opentelemetry.sdk.metrics.export import ConsoleMetricsExporter
metrics.set_meter_provider(MeterProvider())
exporter = ConsoleMetricsExporter()
SystemMetrics(exporter)
# metrics are collected asynchronously
input("...")
# to configure custom metrics
configuration = {
"system.memory.usage": ["used", "free", "cached"],
"system.cpu.time": ["idle", "user", "system", "irq"],
"system.network.io": ["trasmit", "receive"],
"runtime.memory": ["rss", "vms"],
"runtime.cpu.time": ["user", "system"],
}
SystemMetrics(exporter, config=configuration)
API
---
"""
import gc
import os
import typing
from platform import python_implementation
import psutil
from opentelemetry import metrics
from opentelemetry.sdk.metrics import (
SumObserver,
UpDownSumObserver,
ValueObserver,
)
from opentelemetry.sdk.metrics.export import MetricsExporter
from opentelemetry.sdk.metrics.export.controller import PushController
from opentelemetry.sdk.util import get_dict_as_key
class SystemMetrics:
# pylint: disable=too-many-statements
def __init__(
self,
exporter: MetricsExporter,
interval: int = 30,
labels: typing.Optional[typing.Dict[str, str]] = None,
config: typing.Optional[typing.Dict[str, typing.List[str]]] = None,
):
self._labels = {} if labels is None else labels
self.meter = metrics.get_meter(__name__)
self.controller = PushController(
meter=self.meter, exporter=exporter, interval=interval
)
self._python_implementation = python_implementation().lower()
if config is None:
self._config = {
"system.cpu.time": ["idle", "user", "system", "irq"],
"system.cpu.utilization": ["idle", "user", "system", "irq"],
"system.memory.usage": ["used", "free", "cached"],
"system.memory.utilization": ["used", "free", "cached"],
"system.swap.usage": ["used", "free"],
"system.swap.utilization": ["used", "free"],
# system.swap.page.faults: [],
# system.swap.page.operations: [],
"system.disk.io": ["read", "write"],
"system.disk.operations": ["read", "write"],
"system.disk.time": ["read", "write"],
"system.disk.merged": ["read", "write"],
# "system.filesystem.usage": [],
# "system.filesystem.utilization": [],
"system.network.dropped.packets": ["transmit", "receive"],
"system.network.packets": ["transmit", "receive"],
"system.network.errors": ["transmit", "receive"],
"system.network.io": ["trasmit", "receive"],
"system.network.connections": ["family", "type"],
"runtime.memory": ["rss", "vms"],
"runtime.cpu.time": ["user", "system"],
}
else:
self._config = config
self._proc = psutil.Process(os.getpid())
self._system_cpu_time_labels = self._labels.copy()
self._system_cpu_utilization_labels = self._labels.copy()
self._system_memory_usage_labels = self._labels.copy()
self._system_memory_utilization_labels = self._labels.copy()
self._system_swap_usage_labels = self._labels.copy()
self._system_swap_utilization_labels = self._labels.copy()
# self._system_swap_page_faults = self._labels.copy()
# self._system_swap_page_operations = self._labels.copy()
self._system_disk_io_labels = self._labels.copy()
self._system_disk_operations_labels = self._labels.copy()
self._system_disk_time_labels = self._labels.copy()
self._system_disk_merged_labels = self._labels.copy()
# self._system_filesystem_usage_labels = self._labels.copy()
# self._system_filesystem_utilization_labels = self._labels.copy()
self._system_network_dropped_packets_labels = self._labels.copy()
self._system_network_packets_labels = self._labels.copy()
self._system_network_errors_labels = self._labels.copy()
self._system_network_io_labels = self._labels.copy()
self._system_network_connections_labels = self._labels.copy()
self._runtime_memory_labels = self._labels.copy()
self._runtime_cpu_time_labels = self._labels.copy()
self._runtime_gc_count_labels = self._labels.copy()
self.meter.register_observer(
callback=self._get_system_cpu_time,
name="system.cpu.time",
description="System CPU time",
unit="seconds",
value_type=float,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_system_cpu_utilization,
name="system.cpu.utilization",
description="System CPU utilization",
unit="1",
value_type=float,
observer_type=ValueObserver,
)
self.meter.register_observer(
callback=self._get_system_memory_usage,
name="system.memory.usage",
description="System memory usage",
unit="bytes",
value_type=int,
observer_type=ValueObserver,
)
self.meter.register_observer(
callback=self._get_system_memory_utilization,
name="system.memory.utilization",
description="System memory utilization",
unit="1",
value_type=float,
observer_type=ValueObserver,
)
self.meter.register_observer(
callback=self._get_system_swap_usage,
name="system.swap.usage",
description="System swap usage",
unit="pages",
value_type=int,
observer_type=ValueObserver,
)
self.meter.register_observer(
callback=self._get_system_swap_utilization,
name="system.swap.utilization",
description="System swap utilization",
unit="1",
value_type=float,
observer_type=ValueObserver,
)
# self.meter.register_observer(
# callback=self._get_system_swap_page_faults,
# name="system.swap.page_faults",
# description="System swap page faults",
# unit="faults",
# value_type=int,
# observer_type=SumObserver,
# )
# self.meter.register_observer(
# callback=self._get_system_swap_page_operations,
# name="system.swap.page_operations",
# description="System swap page operations",
# unit="operations",
# value_type=int,
# observer_type=SumObserver,
# )
self.meter.register_observer(
callback=self._get_system_disk_io,
name="system.disk.io",
description="System disk IO",
unit="bytes",
value_type=int,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_system_disk_operations,
name="system.disk.operations",
description="System disk operations",
unit="operations",
value_type=int,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_system_disk_time,
name="system.disk.time",
description="System disk time",
unit="seconds",
value_type=float,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_system_disk_merged,
name="system.disk.merged",
description="System disk merged",
unit="1",
value_type=int,
observer_type=SumObserver,
)
# self.meter.register_observer(
# callback=self._get_system_filesystem_usage,
# name="system.filesystem.usage",
# description="System filesystem usage",
# unit="bytes",
# value_type=int,
# observer_type=ValueObserver,
# )
# self.meter.register_observer(
# callback=self._get_system_filesystem_utilization,
# name="system.filesystem.utilization",
# description="System filesystem utilization",
# unit="1",
# value_type=float,
# observer_type=ValueObserver,
# )
self.meter.register_observer(
callback=self._get_system_network_dropped_packets,
name="system.network.dropped_packets",
description="System network dropped_packets",
unit="packets",
value_type=int,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_system_network_packets,
name="system.network.packets",
description="System network packets",
unit="packets",
value_type=int,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_system_network_errors,
name="system.network.errors",
description="System network errors",
unit="errors",
value_type=int,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_system_network_io,
name="system.network.io",
description="System network io",
unit="bytes",
value_type=int,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_system_network_connections,
name="system.network.connections",
description="System network connections",
unit="connections",
value_type=int,
observer_type=UpDownSumObserver,
)
self.meter.register_observer(
callback=self._get_runtime_memory,
name="runtime.{}.memory".format(self._python_implementation),
description="Runtime {} memory".format(
self._python_implementation
),
unit="bytes",
value_type=int,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_runtime_cpu_time,
name="runtime.{}.cpu_time".format(self._python_implementation),
description="Runtime {} CPU time".format(
self._python_implementation
),
unit="seconds",
value_type=float,
observer_type=SumObserver,
)
self.meter.register_observer(
callback=self._get_runtime_gc_count,
name="runtime.{}.gc_count".format(self._python_implementation),
description="Runtime {} GC count".format(
self._python_implementation
),
unit="bytes",
value_type=int,
observer_type=SumObserver,
)
def _get_system_cpu_time(self, observer: metrics.ValueObserver) -> None:
"""Observer callback for system CPU time
Args:
observer: the observer to update
"""
for cpu, times in enumerate(psutil.cpu_times(percpu=True)):
for metric in self._config["system.cpu.time"]:
if hasattr(times, metric):
self._system_cpu_time_labels["state"] = metric
self._system_cpu_time_labels["cpu"] = cpu + 1
observer.observe(
getattr(times, metric), self._system_cpu_time_labels
)
def _get_system_cpu_utilization(
self, observer: metrics.ValueObserver
) -> None:
"""Observer callback for system CPU utilization
Args:
observer: the observer to update
"""
for cpu, times_percent in enumerate(
psutil.cpu_times_percent(percpu=True)
):
for metric in self._config["system.cpu.utilization"]:
if hasattr(times_percent, metric):
self._system_cpu_utilization_labels["state"] = metric
self._system_cpu_utilization_labels["cpu"] = cpu + 1
observer.observe(
getattr(times_percent, metric) / 100,
self._system_cpu_utilization_labels,
)
def _get_system_memory_usage(
self, observer: metrics.ValueObserver
) -> None:
"""Observer callback for memory usage
Args:
observer: the observer to update
"""
virtual_memory = psutil.virtual_memory()
for metric in self._config["system.memory.usage"]:
self._system_memory_usage_labels["state"] = metric
if hasattr(virtual_memory, metric):
observer.observe(
getattr(virtual_memory, metric),
self._system_memory_usage_labels,
)
def _get_system_memory_utilization(
self, observer: metrics.ValueObserver
) -> None:
"""Observer callback for memory utilization
Args:
observer: the observer to update
"""
system_memory = psutil.virtual_memory()
for metric in self._config["system.memory.utilization"]:
self._system_memory_utilization_labels["state"] = metric
if hasattr(system_memory, metric):
observer.observe(
getattr(system_memory, metric) / system_memory.total,
self._system_memory_utilization_labels,
)
def _get_system_swap_usage(self, observer: metrics.ValueObserver) -> None:
"""Observer callback for swap usage
Args:
observer: the observer to update
"""
system_swap = psutil.swap_memory()
for metric in self._config["system.swap.usage"]:
self._system_swap_usage_labels["state"] = metric
if hasattr(system_swap, metric):
observer.observe(
getattr(system_swap, metric),
self._system_swap_usage_labels,
)
def _get_system_swap_utilization(
self, observer: metrics.ValueObserver
) -> None:
"""Observer callback for swap utilization
Args:
observer: the observer to update
"""
system_swap = psutil.swap_memory()
for metric in self._config["system.swap.utilization"]:
if hasattr(system_swap, metric):
self._system_swap_utilization_labels["state"] = metric
observer.observe(
getattr(system_swap, metric) / system_swap.total,
self._system_swap_utilization_labels,
)
# TODO Add _get_system_swap_page_faults
# TODO Add _get_system_swap_page_operations
def _get_system_disk_io(self, observer: metrics.SumObserver) -> None:
"""Observer callback for disk IO
Args:
observer: the observer to update
"""
for device, counters in psutil.disk_io_counters(perdisk=True).items():
for metric in self._config["system.disk.io"]:
if hasattr(counters, "{}_bytes".format(metric)):
self._system_disk_io_labels["device"] = device
self._system_disk_io_labels["direction"] = metric
observer.observe(
getattr(counters, "{}_bytes".format(metric)),
self._system_disk_io_labels,
)
def _get_system_disk_operations(
self, observer: metrics.SumObserver
) -> None:
"""Observer callback for disk operations
Args:
observer: the observer to update
"""
for device, counters in psutil.disk_io_counters(perdisk=True).items():
for metric in self._config["system.disk.operations"]:
if hasattr(counters, "{}_count".format(metric)):
self._system_disk_operations_labels["device"] = device
self._system_disk_operations_labels["direction"] = metric
observer.observe(
getattr(counters, "{}_count".format(metric)),
self._system_disk_operations_labels,
)
def _get_system_disk_time(self, observer: metrics.SumObserver) -> None:
"""Observer callback for disk time
Args:
observer: the observer to update
"""
for device, counters in psutil.disk_io_counters(perdisk=True).items():
for metric in self._config["system.disk.time"]:
if hasattr(counters, "{}_time".format(metric)):
self._system_disk_time_labels["device"] = device
self._system_disk_time_labels["direction"] = metric
observer.observe(
getattr(counters, "{}_time".format(metric)) / 1000,
self._system_disk_time_labels,
)
def _get_system_disk_merged(self, observer: metrics.SumObserver) -> None:
"""Observer callback for disk merged operations
Args:
observer: the observer to update
"""
# FIXME The units in the spec is 1, it seems like it should be
# operations or the value type should be Double
for device, counters in psutil.disk_io_counters(perdisk=True).items():
for metric in self._config["system.disk.time"]:
if hasattr(counters, "{}_merged_count".format(metric)):
self._system_disk_merged_labels["device"] = device
self._system_disk_merged_labels["direction"] = metric
observer.observe(
getattr(counters, "{}_merged_count".format(metric)),
self._system_disk_merged_labels,
)
# TODO Add _get_system_filesystem_usage
# TODO Add _get_system_filesystem_utilization
# TODO Filesystem information can be obtained with os.statvfs in Unix-like
# OSs, how to do the same in Windows?
def _get_system_network_dropped_packets(
self, observer: metrics.SumObserver
) -> None:
"""Observer callback for network dropped packets
Args:
observer: the observer to update
"""
for device, counters in psutil.net_io_counters(pernic=True).items():
for metric in self._config["system.network.dropped.packets"]:
in_out = {"receive": "in", "transmit": "out"}[metric]
if hasattr(counters, "drop{}".format(in_out)):
self._system_network_dropped_packets_labels[
"device"
] = device
self._system_network_dropped_packets_labels[
"direction"
] = metric
observer.observe(
getattr(counters, "drop{}".format(in_out)),
self._system_network_dropped_packets_labels,
)
def _get_system_network_packets(
self, observer: metrics.SumObserver
) -> None:
"""Observer callback for network packets
Args:
observer: the observer to update
"""
for device, counters in psutil.net_io_counters(pernic=True).items():
for metric in self._config["system.network.dropped.packets"]:
recv_sent = {"receive": "recv", "transmit": "sent"}[metric]
if hasattr(counters, "packets_{}".format(recv_sent)):
self._system_network_packets_labels["device"] = device
self._system_network_packets_labels["direction"] = metric
observer.observe(
getattr(counters, "packets_{}".format(recv_sent)),
self._system_network_packets_labels,
)
def _get_system_network_errors(
self, observer: metrics.SumObserver
) -> None:
"""Observer callback for network errors
Args:
observer: the observer to update
"""
for device, counters in psutil.net_io_counters(pernic=True).items():
for metric in self._config["system.network.errors"]:
in_out = {"receive": "in", "transmit": "out"}[metric]
if hasattr(counters, "err{}".format(in_out)):
self._system_network_errors_labels["device"] = device
self._system_network_errors_labels["direction"] = metric
observer.observe(
getattr(counters, "err{}".format(in_out)),
self._system_network_errors_labels,
)
def _get_system_network_io(self, observer: metrics.SumObserver) -> None:
"""Observer callback for network IO
Args:
observer: the observer to update
"""
for device, counters in psutil.net_io_counters(pernic=True).items():
for metric in self._config["system.network.dropped.packets"]:
recv_sent = {"receive": "recv", "transmit": "sent"}[metric]
if hasattr(counters, "bytes_{}".format(recv_sent)):
self._system_network_io_labels["device"] = device
self._system_network_io_labels["direction"] = metric
observer.observe(
getattr(counters, "bytes_{}".format(recv_sent)),
self._system_network_io_labels,
)
def _get_system_network_connections(
self, observer: metrics.UpDownSumObserver
) -> None:
"""Observer callback for network connections
Args:
observer: the observer to update
"""
# TODO How to find the device identifier for a particular
# connection?
connection_counters = {}
for net_connection in psutil.net_connections():
for metric in self._config["system.network.connections"]:
self._system_network_connections_labels["protocol"] = {
1: "tcp",
2: "udp",
}[net_connection.type.value]
self._system_network_connections_labels[
"state"
] = net_connection.status
self._system_network_connections_labels[metric] = getattr(
net_connection, metric
)
connection_counters_key = get_dict_as_key(
self._system_network_connections_labels
)
if connection_counters_key in connection_counters.keys():
connection_counters[connection_counters_key]["counter"] += 1
else:
connection_counters[connection_counters_key] = {
"counter": 1,
"labels": self._system_network_connections_labels.copy(),
}
for connection_counter in connection_counters.values():
observer.observe(
connection_counter["counter"], connection_counter["labels"],
)
def _get_runtime_memory(self, observer: metrics.SumObserver) -> None:
"""Observer callback for runtime memory
Args:
observer: the observer to update
"""
proc_memory = self._proc.memory_info()
for metric in self._config["runtime.memory"]:
if hasattr(proc_memory, metric):
self._runtime_memory_labels["type"] = metric
observer.observe(
getattr(proc_memory, metric), self._runtime_memory_labels,
)
def _get_runtime_cpu_time(self, observer: metrics.SumObserver) -> None:
"""Observer callback for runtime CPU time
Args:
observer: the observer to update
"""
proc_cpu = self._proc.cpu_times()
for metric in self._config["runtime.cpu.time"]:
if hasattr(proc_cpu, metric):
self._runtime_cpu_time_labels["type"] = metric
observer.observe(
getattr(proc_cpu, metric), self._runtime_cpu_time_labels,
)
def _get_runtime_gc_count(self, observer: metrics.SumObserver) -> None:
"""Observer callback for garbage collection
Args:
observer: the observer to update
"""
for index, count in enumerate(gc.get_count()):
self._runtime_gc_count_labels["count"] = str(index)
observer.observe(count, self._runtime_gc_count_labels)

15
instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/version.py Normal file
View File

@ -0,0 +1,15 @@
# 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.
__version__ = "0.15.dev0"

0
instrumentation/opentelemetry-instrumentation-system-metrics/tests/__init__.py Normal file
View File

703
instrumentation/opentelemetry-instrumentation-system-metrics/tests/test_system_metrics.py Normal file
View File

@ -0,0 +1,703 @@
# 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.
# pylint: disable=protected-access
from collections import namedtuple
from platform import python_implementation
from unittest import mock
from opentelemetry import metrics
from opentelemetry.instrumentation.system_metrics import SystemMetrics
from opentelemetry.sdk.metrics.export.aggregate import ValueObserverAggregator
from opentelemetry.test.test_base import TestBase
class TestSystemMetrics(TestBase):
def setUp(self):
super().setUp()
self.memory_metrics_exporter.clear()
self.implementation = python_implementation().lower()
def test_system_metrics_constructor(self):
# ensure the observers have been registered
meter = metrics.get_meter(__name__)
with mock.patch("opentelemetry.metrics.get_meter") as mock_get_meter:
mock_get_meter.return_value = meter
SystemMetrics(self.memory_metrics_exporter)
self.assertEqual(len(meter.observers), 18)
observer_names = [
"system.cpu.time",
"system.cpu.utilization",
"system.memory.usage",
"system.memory.utilization",
"system.swap.usage",
"system.swap.utilization",
"system.disk.io",
"system.disk.operations",
"system.disk.time",
"system.disk.merged",
"system.network.dropped_packets",
"system.network.packets",
"system.network.errors",
"system.network.io",
"system.network.connections",
"runtime.{}.memory".format(self.implementation),
"runtime.{}.cpu_time".format(self.implementation),
"runtime.{}.gc_count".format(self.implementation),
]
for observer in meter.observers:
self.assertIn(observer.name, observer_names)
observer_names.remove(observer.name)
def _assert_metrics(self, observer_name, system_metrics, expected):
system_metrics.controller.tick()
assertions = 0
for (
metric
) in (
self.memory_metrics_exporter._exported_metrics # pylint: disable=protected-access
):
if (
metric.labels in expected
and metric.instrument.name == observer_name
):
self.assertEqual(
metric.aggregator.checkpoint, expected[metric.labels],
)
assertions += 1
self.assertEqual(len(expected), assertions)
def _test_metrics(self, observer_name, expected):
meter = self.meter_provider.get_meter(__name__)
with mock.patch("opentelemetry.metrics.get_meter") as mock_get_meter:
mock_get_meter.return_value = meter
system_metrics = SystemMetrics(self.memory_metrics_exporter)
self._assert_metrics(observer_name, system_metrics, expected)
# When this test case is executed, _get_system_cpu_utilization gets run
# too because of the controller thread which runs all observers. This patch
# is added here to stop a warning that would otherwise be raised.
# pylint: disable=unused-argument
@mock.patch("psutil.cpu_times_percent")
@mock.patch("psutil.cpu_times")
def test_system_cpu_time(self, mock_cpu_times, mock_cpu_times_percent):
CPUTimes = namedtuple("CPUTimes", ["idle", "user", "system", "irq"])
mock_cpu_times.return_value = [
CPUTimes(idle=1.2, user=3.4, system=5.6, irq=7.8),
CPUTimes(idle=1.2, user=3.4, system=5.6, irq=7.8),
]
expected = {
(("cpu", 1), ("state", "idle"),): 1.2,
(("cpu", 1), ("state", "user"),): 3.4,
(("cpu", 1), ("state", "system"),): 5.6,
(("cpu", 1), ("state", "irq"),): 7.8,
(("cpu", 2), ("state", "idle"),): 1.2,
(("cpu", 2), ("state", "user"),): 3.4,
(("cpu", 2), ("state", "system"),): 5.6,
(("cpu", 2), ("state", "irq"),): 7.8,
}
self._test_metrics("system.cpu.time", expected)
@mock.patch("psutil.cpu_times_percent")
def test_system_cpu_utilization(self, mock_cpu_times_percent):
CPUTimesPercent = namedtuple(
"CPUTimesPercent", ["idle", "user", "system", "irq"]
)
mock_cpu_times_percent.return_value = [
CPUTimesPercent(idle=1.2, user=3.4, system=5.6, irq=7.8),
CPUTimesPercent(idle=1.2, user=3.4, system=5.6, irq=7.8),
]
expected = {
(("cpu", 1), ("state", "idle"),): ValueObserverAggregator._TYPE(
min=1.2 / 100,
max=1.2 / 100,
sum=1.2 / 100,
count=1,
last=1.2 / 100,
),
(("cpu", 1), ("state", "user"),): ValueObserverAggregator._TYPE(
min=3.4 / 100,
max=3.4 / 100,
sum=3.4 / 100,
count=1,
last=3.4 / 100,
),
(("cpu", 1), ("state", "system"),): ValueObserverAggregator._TYPE(
min=5.6 / 100,
max=5.6 / 100,
sum=5.6 / 100,
count=1,
last=5.6 / 100,
),
(("cpu", 1), ("state", "irq"),): ValueObserverAggregator._TYPE(
min=7.8 / 100,
max=7.8 / 100,
sum=7.8 / 100,
count=1,
last=7.8 / 100,
),
(("cpu", 2), ("state", "idle"),): ValueObserverAggregator._TYPE(
min=1.2 / 100,
max=1.2 / 100,
sum=1.2 / 100,
count=1,
last=1.2 / 100,
),
(("cpu", 2), ("state", "user"),): ValueObserverAggregator._TYPE(
min=3.4 / 100,
max=3.4 / 100,
sum=3.4 / 100,
count=1,
last=3.4 / 100,
),
(("cpu", 2), ("state", "system"),): ValueObserverAggregator._TYPE(
min=5.6 / 100,
max=5.6 / 100,
sum=5.6 / 100,
count=1,
last=5.6 / 100,
),
(("cpu", 2), ("state", "irq"),): ValueObserverAggregator._TYPE(
min=7.8 / 100,
max=7.8 / 100,
sum=7.8 / 100,
count=1,
last=7.8 / 100,
),
}
self._test_metrics("system.cpu.utilization", expected)
@mock.patch("psutil.virtual_memory")
def test_system_memory_usage(self, mock_virtual_memory):
VirtualMemory = namedtuple(
"VirtualMemory", ["used", "free", "cached", "total"]
)
mock_virtual_memory.return_value = VirtualMemory(
used=1, free=2, cached=3, total=4
)
expected = {
(("state", "used"),): ValueObserverAggregator._TYPE(
min=1, max=1, sum=1, count=1, last=1
),
(("state", "free"),): ValueObserverAggregator._TYPE(
min=2, max=2, sum=2, count=1, last=2
),
(("state", "cached"),): ValueObserverAggregator._TYPE(
min=3, max=3, sum=3, count=1, last=3
),
}
self._test_metrics("system.memory.usage", expected)
@mock.patch("psutil.virtual_memory")
def test_system_memory_utilization(self, mock_virtual_memory):
VirtualMemory = namedtuple(
"VirtualMemory", ["used", "free", "cached", "total"]
)
mock_virtual_memory.return_value = VirtualMemory(
used=1, free=2, cached=3, total=4
)
expected = {
(("state", "used"),): ValueObserverAggregator._TYPE(
min=1 / 4, max=1 / 4, sum=1 / 4, count=1, last=1 / 4
),
(("state", "free"),): ValueObserverAggregator._TYPE(
min=2 / 4, max=2 / 4, sum=2 / 4, count=1, last=2 / 4
),
(("state", "cached"),): ValueObserverAggregator._TYPE(
min=3 / 4, max=3 / 4, sum=3 / 4, count=1, last=3 / 4
),
}
self._test_metrics("system.memory.utilization", expected)
@mock.patch("psutil.swap_memory")
def test_system_swap_usage(self, mock_swap_memory):
SwapMemory = namedtuple("SwapMemory", ["used", "free", "total"])
mock_swap_memory.return_value = SwapMemory(used=1, free=2, total=3)
expected = {
(("state", "used"),): ValueObserverAggregator._TYPE(
min=1, max=1, sum=1, count=1, last=1
),
(("state", "free"),): ValueObserverAggregator._TYPE(
min=2, max=2, sum=2, count=1, last=2
),
}
self._test_metrics("system.swap.usage", expected)
@mock.patch("psutil.swap_memory")
def test_system_swap_utilization(self, mock_swap_memory):
SwapMemory = namedtuple("SwapMemory", ["used", "free", "total"])
mock_swap_memory.return_value = SwapMemory(used=1, free=2, total=3)
expected = {
(("state", "used"),): ValueObserverAggregator._TYPE(
min=1 / 3, max=1 / 3, sum=1 / 3, count=1, last=1 / 3
),
(("state", "free"),): ValueObserverAggregator._TYPE(
min=2 / 3, max=2 / 3, sum=2 / 3, count=1, last=2 / 3
),
}
self._test_metrics("system.swap.utilization", expected)
@mock.patch("psutil.disk_io_counters")
def test_system_disk_io(self, mock_disk_io_counters):
DiskIO = namedtuple(
"DiskIO",
[
"read_count",
"write_count",
"read_bytes",
"write_bytes",
"read_time",
"write_time",
"read_merged_count",
"write_merged_count",
],
)
mock_disk_io_counters.return_value = {
"sda": DiskIO(
read_count=1,
write_count=2,
read_bytes=3,
write_bytes=4,
read_time=5,
write_time=6,
read_merged_count=7,
write_merged_count=8,
),
"sdb": DiskIO(
read_count=9,
write_count=10,
read_bytes=11,
write_bytes=12,
read_time=13,
write_time=14,
read_merged_count=15,
write_merged_count=16,
),
}
expected = {
(("device", "sda"), ("direction", "read"),): 3,
(("device", "sda"), ("direction", "write"),): 4,
(("device", "sdb"), ("direction", "read"),): 11,
(("device", "sdb"), ("direction", "write"),): 12,
}
self._test_metrics("system.disk.io", expected)
@mock.patch("psutil.disk_io_counters")
def test_system_disk_operations(self, mock_disk_io_counters):
DiskIO = namedtuple(
"DiskIO",
[
"read_count",
"write_count",
"read_bytes",
"write_bytes",
"read_time",
"write_time",
"read_merged_count",
"write_merged_count",
],
)
mock_disk_io_counters.return_value = {
"sda": DiskIO(
read_count=1,
write_count=2,
read_bytes=3,
write_bytes=4,
read_time=5,
write_time=6,
read_merged_count=7,
write_merged_count=8,
),
"sdb": DiskIO(
read_count=9,
write_count=10,
read_bytes=11,
write_bytes=12,
read_time=13,
write_time=14,
read_merged_count=15,
write_merged_count=16,
),
}
expected = {
(("device", "sda"), ("direction", "read"),): 1,
(("device", "sda"), ("direction", "write"),): 2,
(("device", "sdb"), ("direction", "read"),): 9,
(("device", "sdb"), ("direction", "write"),): 10,
}
self._test_metrics("system.disk.operations", expected)
@mock.patch("psutil.disk_io_counters")
def test_system_disk_time(self, mock_disk_io_counters):
DiskIO = namedtuple(
"DiskIO",
[
"read_count",
"write_count",
"read_bytes",
"write_bytes",
"read_time",
"write_time",
"read_merged_count",
"write_merged_count",
],
)
mock_disk_io_counters.return_value = {
"sda": DiskIO(
read_count=1,
write_count=2,
read_bytes=3,
write_bytes=4,
read_time=5,
write_time=6,
read_merged_count=7,
write_merged_count=8,
),
"sdb": DiskIO(
read_count=9,
write_count=10,
read_bytes=11,
write_bytes=12,
read_time=13,
write_time=14,
read_merged_count=15,
write_merged_count=16,
),
}
expected = {
(("device", "sda"), ("direction", "read"),): 5 / 1000,
(("device", "sda"), ("direction", "write"),): 6 / 1000,
(("device", "sdb"), ("direction", "read"),): 13 / 1000,
(("device", "sdb"), ("direction", "write"),): 14 / 1000,
}
self._test_metrics("system.disk.time", expected)
@mock.patch("psutil.disk_io_counters")
def test_system_disk_merged(self, mock_disk_io_counters):
DiskIO = namedtuple(
"DiskIO",
[
"read_count",
"write_count",
"read_bytes",
"write_bytes",
"read_time",
"write_time",
"read_merged_count",
"write_merged_count",
],
)
mock_disk_io_counters.return_value = {
"sda": DiskIO(
read_count=1,
write_count=2,
read_bytes=3,
write_bytes=4,
read_time=5,
write_time=6,
read_merged_count=7,
write_merged_count=8,
),
"sdb": DiskIO(
read_count=9,
write_count=10,
read_bytes=11,
write_bytes=12,
read_time=13,
write_time=14,
read_merged_count=15,
write_merged_count=16,
),
}
expected = {
(("device", "sda"), ("direction", "read"),): 7,
(("device", "sda"), ("direction", "write"),): 8,
(("device", "sdb"), ("direction", "read"),): 15,
(("device", "sdb"), ("direction", "write"),): 16,
}
self._test_metrics("system.disk.merged", expected)
@mock.patch("psutil.net_io_counters")
def test_system_network_dropped_packets(self, mock_net_io_counters):
NetIO = namedtuple(
"NetIO",
[
"dropin",
"dropout",
"packets_sent",
"packets_recv",
"errin",
"errout",
"bytes_sent",
"bytes_recv",
],
)
mock_net_io_counters.return_value = {
"eth0": NetIO(
dropin=1,
dropout=2,
packets_sent=3,
packets_recv=4,
errin=5,
errout=6,
bytes_sent=7,
bytes_recv=8,
),
"eth1": NetIO(
dropin=9,
dropout=10,
packets_sent=11,
packets_recv=12,
errin=13,
errout=14,
bytes_sent=15,
bytes_recv=16,
),
}
expected = {
(("device", "eth0"), ("direction", "receive"),): 1,
(("device", "eth0"), ("direction", "transmit"),): 2,
(("device", "eth1"), ("direction", "receive"),): 9,
(("device", "eth1"), ("direction", "transmit"),): 10,
}
self._test_metrics("system.network.dropped_packets", expected)
@mock.patch("psutil.net_io_counters")
def test_system_network_packets(self, mock_net_io_counters):
NetIO = namedtuple(
"NetIO",
[
"dropin",
"dropout",
"packets_sent",
"packets_recv",
"errin",
"errout",
"bytes_sent",
"bytes_recv",
],
)
mock_net_io_counters.return_value = {
"eth0": NetIO(
dropin=1,
dropout=2,
packets_sent=3,
packets_recv=4,
errin=5,
errout=6,
bytes_sent=7,
bytes_recv=8,
),
"eth1": NetIO(
dropin=9,
dropout=10,
packets_sent=11,
packets_recv=12,
errin=13,
errout=14,
bytes_sent=15,
bytes_recv=16,
),
}
expected = {
(("device", "eth0"), ("direction", "receive"),): 4,
(("device", "eth0"), ("direction", "transmit"),): 3,
(("device", "eth1"), ("direction", "receive"),): 12,
(("device", "eth1"), ("direction", "transmit"),): 11,
}
self._test_metrics("system.network.packets", expected)
@mock.patch("psutil.net_io_counters")
def test_system_network_errors(self, mock_net_io_counters):
NetIO = namedtuple(
"NetIO",
[
"dropin",
"dropout",
"packets_sent",
"packets_recv",
"errin",
"errout",
"bytes_sent",
"bytes_recv",
],
)
mock_net_io_counters.return_value = {
"eth0": NetIO(
dropin=1,
dropout=2,
packets_sent=3,
packets_recv=4,
errin=5,
errout=6,
bytes_sent=7,
bytes_recv=8,
),
"eth1": NetIO(
dropin=9,
dropout=10,
packets_sent=11,
packets_recv=12,
errin=13,
errout=14,
bytes_sent=15,
bytes_recv=16,
),
}
expected = {
(("device", "eth0"), ("direction", "receive"),): 5,
(("device", "eth0"), ("direction", "transmit"),): 6,
(("device", "eth1"), ("direction", "receive"),): 13,
(("device", "eth1"), ("direction", "transmit"),): 14,
}
self._test_metrics("system.network.errors", expected)
@mock.patch("psutil.net_io_counters")
def test_system_network_io(self, mock_net_io_counters):
NetIO = namedtuple(
"NetIO",
[
"dropin",
"dropout",
"packets_sent",
"packets_recv",
"errin",
"errout",
"bytes_sent",
"bytes_recv",
],
)
mock_net_io_counters.return_value = {
"eth0": NetIO(
dropin=1,
dropout=2,
packets_sent=3,
packets_recv=4,
errin=5,
errout=6,
bytes_sent=7,
bytes_recv=8,
),
"eth1": NetIO(
dropin=9,
dropout=10,
packets_sent=11,
packets_recv=12,
errin=13,
errout=14,
bytes_sent=15,
bytes_recv=16,
),
}
expected = {
(("device", "eth0"), ("direction", "receive"),): 8,
(("device", "eth0"), ("direction", "transmit"),): 7,
(("device", "eth1"), ("direction", "receive"),): 16,
(("device", "eth1"), ("direction", "transmit"),): 15,
}
self._test_metrics("system.network.io", expected)
@mock.patch("psutil.net_connections")
def test_system_network_connections(self, mock_net_connections):
NetConnection = namedtuple(
"NetworkConnection", ["family", "type", "status"]
)
Type = namedtuple("Type", ["value"])
mock_net_connections.return_value = [
NetConnection(family=1, status="ESTABLISHED", type=Type(value=2),),
NetConnection(family=1, status="ESTABLISHED", type=Type(value=1),),
]
expected = {
(
("family", 1),
("protocol", "udp"),
("state", "ESTABLISHED"),
("type", Type(value=2)),
): 1,
(
("family", 1),
("protocol", "tcp"),
("state", "ESTABLISHED"),
("type", Type(value=1)),
): 1,
}
self._test_metrics("system.network.connections", expected)
@mock.patch("psutil.Process.memory_info")
def test_runtime_memory(self, mock_process_memory_info):
PMem = namedtuple("PMem", ["rss", "vms"])
mock_process_memory_info.configure_mock(
**{"return_value": PMem(rss=1, vms=2)}
)
expected = {
(("type", "rss"),): 1,
(("type", "vms"),): 2,
}
self._test_metrics(
"runtime.{}.memory".format(self.implementation), expected
)
@mock.patch("psutil.Process.cpu_times")
def test_runtime_cpu_time(self, mock_process_cpu_times):
PCPUTimes = namedtuple("PCPUTimes", ["user", "system"])
mock_process_cpu_times.configure_mock(
**{"return_value": PCPUTimes(user=1.1, system=2.2)}
)
expected = {
(("type", "user"),): 1.1,
(("type", "system"),): 2.2,
}
self._test_metrics(
"runtime.{}.cpu_time".format(self.implementation), expected
)
@mock.patch("gc.get_count")
def test_runtime_get_count(self, mock_gc_get_count):
mock_gc_get_count.configure_mock(**{"return_value": (1, 2, 3)})
expected = {
(("count", "0"),): 1,
(("count", "1"),): 2,
(("count", "2"),): 3,
}
self._test_metrics(
"runtime.{}.gc_count".format(self.implementation), expected
)