.. image:: docs/sources/_static/pytestmonitor_readme.png :width: 160 :align: center :alt: Pytest-Monitor
.. image:: https://readthedocs.org/projects/pytest-monitor/badge/?version=latest :target: https://pytest-monitor.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
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.. image:: https://img.shields.io/pypi/pyversions/pytest-monitor.svg :target: https://circleci.com/gh/jsd-spif/pymonitor.svg?style=svg&circle-token=cdf89a7212139aff0cc236227cb519363981de0b :alt: Python versions
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.. image:: https://anaconda.org/conda-forge/pytest-monitor/badges/platforms.svg :target: https://anaconda.org/conda-forge/pytest-monitor
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Pytest-monitor is a pytest plugin designed for analyzing resource usage.
Analyze your resources consumption through test functions:
Simply run pytest as usual: pytest-monitor is active by default as soon as it is installed.
After running your first session, a .pymon sqlite
database will be accessible in the directory where pytest was run.
Example of information collected for the execution context:
+-----------------------------------+-----------+-------------------+---------+-------------------------------------------+---------------+--------------------+------------+-------------------------------+-------------------------------+--------------------------------------------------+
| ENV_H| CPU_COUNT| CPU_FREQUENCY_MHZ| CPU_TYPE| CPU_VENDOR| RAM_TOTAL_MB | MACHINE_NODE |MACHINE_TYPE| MACHINE_ARCH | SYSTEM_INFO | PYTHON_INFO|
+===================================+===========+===================+=========+===========================================+===============+====================+============+===============================+===============================+==================================================+
| 8294b1326007d9f4c8a1680f9590c23d | 36 | 3000 | x86_64 | Intel(R) Xeon(R) Gold 6154 CPU @ 3.00GHz | 772249 | some.host.vm.fr | x86_64 | 64bit | Linux - 3.10.0-693.el7.x86_64 | 3.6.8 (default, Jun 28 2019, 11:09:04) \n[GCC ...|
+-----------------------------------+-----------+-------------------+---------+-------------------------------------------+---------------+--------------------+------------+-------------------------------+-------------------------------+--------------------------------------------------+
Here is an example of collected data stored in the result database:
+------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | RUN_DATE| ENV_H| SCM_ID| ITEM_START_TIME| ITEM| KIND| COMPONENT| TOTAL_TIME| USER_TIME| KERNEL_TIME| CPU_USAGE| MEM_USAGE| +==============================+==================================+==========================================+============================+========================================+==========+==========+============+===========+=============+============+===========+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:36.890477 | pkg1.test_mod1/test_sleep1 | function | None | 1.005669 | 0.54 | 0.06 | 0.596618 | 1.781250 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:39.912029 | pkg1.test_mod1/test_heavy[10-10] | function | None | 0.029627 | 0.55 | 0.08 | 21.264498 | 1.781250 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:39.948922 | pkg1.test_mod1/test_heavy[100-100] | function | None | 0.028262 | 0.56 | 0.09 | 22.998773 | 1.781250 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:39.983869 | pkg1.test_mod1/test_heavy[1000-1000] | function | None | 0.030131 | 0.56 | 0.10 | 21.904277 | 2.132812 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:40.020823 | pkg1.test_mod1/test_heavy[10000-10000] | function | None | 0.060060 | 0.57 | 0.14 | 11.821601 | 41.292969 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:40.093490 | pkg1.test_mod2/test_sleep_400ms | function | None | 0.404860 | 0.58 | 0.15 | 1.803093 | 2.320312 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:40.510525 | pkg2.test_mod_a/test_master_sleep | function | None | 5.006039 | 5.57 | 0.15 | 1.142620 | 2.320312 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:45.530780 | pkg3.test_mod_cl/test_method1 | function | None | 0.030505 | 5.58 | 0.16 | 188.164762 | 2.320312 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+ | 2020-02-17T09:11:36.731233 | 8294b1326007d9f4c8a1680f9590c23d | de23e6bdb987ae21e84e6c7c0357488ee66f2639 | 2020-02-17T09:11:50.582954 | pkg4.test_mod_a/test_force_monitor | function | test | 1.005015 | 11.57 | 0.17 | 11.681416 | 2.320312 | +------------------------------+----------------------------------+------------------------------------------+----------------------------+----------------------------------------+----------+----------+------------+-----------+-------------+------------+-----------+
A full documentation is available <https://pytest-monitor.readthedocs.io/en/latest/?badge=latest>
_.
You can install pytest-monitor via conda (through the conda-forge
channel)::
$ conda install pytest-monitor -c https://conda.anaconda.org/conda-forge
Another possibility is to install pytest-monitor via pip
from PyPI
::
$ pip install pytest-monitor
You will need a valid Python 3.5+ interpreter. To get measures, we rely on:
Note: this plugin doesn't work with unittest
By default, pytest-monitor stores its result in a local SQLite3 local database, making results accessible.
If you need a more powerful way to analyze your results, checkout the
monitor-server-api
which brings both a REST Api for storing and historize your results and an API to query your data.
An alternative service (using MongoDB) can be used thanks to a contribution from @dremdem: pytest-monitor-backend
.
Contributions are very welcome. Tests can be run with tox
_. Before submitting a pull request, please ensure
that:
This code is distributed under the MIT
_ license. pytest-monitor is free, open-source software.
If you encounter any problem, please file an issue
_ along with a detailed description.
The main author of pytest-monitor
is Jean-Sébastien Dieu, who can be reached at jdieu@salsify.fr.
This pytest
plugin was generated with Cookiecutter
along with @hackebrot
's cookiecutter-pytest-plugin
template.
.. Cookiecutter
: https://github.com/audreyr/cookiecutter
.. @hackebrot
: https://github.com/hackebrot
.. MIT
: http://opensource.org/licenses/MIT
.. BSD-3
: http://opensource.org/licenses/BSD-3-Clause
.. GNU GPL v3.0
: http://www.gnu.org/licenses/gpl-3.0.txt
.. Apache Software License 2.0
: http://www.apache.org/licenses/LICENSE-2.0
.. cookiecutter-pytest-plugin
: https://github.com/pytest-dev/cookiecutter-pytest-plugin
.. file an issue
: https://github.com/CFMTech/pytest-monitor/issues
.. pytest
: https://github.com/pytest-dev/pytest
.. tox
: https://tox.readthedocs.io/en/latest/
.. pip
: https://pypi.org/project/pip/
.. PyPI
: https://pypi.org/project
.. monitor-server-api
: : https://github.com/CFMTech/monitor-server-api
.. pytest-monitor-backend
: https://github.com/dremdem/pytest-monitor-backend