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Pytest plugin for analyzing resource usage during test sessions

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Pytest-Monitor


pytest-monitor

Documentation Status PyPI version Python versions See Build Status on Circle CI

Pytest-monitor is a pytest plugin designed for analyzing resource usage.


Features

  • Analyze your resources consumption through test functions:
    • memory consumption
    • time duration
    • CPU usage
  • Keep a history of your resource consumption measurements.
  • Compare how your code behaves between different environments.

Usage

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

Documentation

A full documentation is available.

Installation

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

Requirements

You will need a valid Python 3.5+ interpreter. To get measures, we rely on:

  • psutil to extract CPU usage
  • memory_profiler to collect memory usage
  • and pytest (obviously!)

Note: this plugin doesn't work with unittest

Storage backends

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.

Contributing

Contributions are very welcome. Tests can be run with tox. Before submitting a pull request, please ensure that:

  • both internal tests and examples are passing.
  • internal tests have been written if necessary.
  • if your contribution provides a new feature, make sure to provide an example and update the documentation accordingly.

License

This code is distributed under the MIT license. pytest-monitor is free, open-source software.

Issues

If you encounter any problem, please file an issue along with a detailed description.

Author

The main author of pytest-monitor is Jean-Sébastien Dieu, who can be reached at [email protected].


This pytest plugin was generated with Cookiecutter along with @hackebrot's cookiecutter-pytest-plugin template.