Coverage plugin for pytest.

Related tags

Testingpythonpytest
Overview

Overview

docs Documentation Status
tests
Travis-CI Build Status AppVeyor Build Status Requirements Status
package

This plugin produces coverage reports. Compared to just using coverage run this plugin does some extras:

  • Subprocess support: you can fork or run stuff in a subprocess and will get covered without any fuss.
  • Xdist support: you can use all of pytest-xdist's features and still get coverage.
  • Consistent pytest behavior. If you run coverage run -m pytest you will have slightly different sys.path (CWD will be in it, unlike when running pytest).

All features offered by the coverage package should work, either through pytest-cov's command line options or through coverage's config file.

  • Free software: MIT license

Installation

Install with pip:

pip install pytest-cov

For distributed testing support install pytest-xdist:

pip install pytest-xdist

Upgrading from ancient pytest-cov

pytest-cov 2.0 is using a new .pth file (pytest-cov.pth). You may want to manually remove the older init_cov_core.pth from site-packages as it's not automatically removed.

Uninstalling

Uninstall with pip:

pip uninstall pytest-cov

Under certain scenarios a stray .pth file may be left around in site-packages.

  • pytest-cov 2.0 may leave a pytest-cov.pth if you installed without wheels (easy_install, setup.py install etc).
  • pytest-cov 1.8 or older will leave a init_cov_core.pth.

Usage

pytest --cov=myproj tests/

Would produce a report like:

-------------------- coverage: ... ---------------------
Name                 Stmts   Miss  Cover
----------------------------------------
myproj/__init__          2      0   100%
myproj/myproj          257     13    94%
myproj/feature4286      94      7    92%
----------------------------------------
TOTAL                  353     20    94%

Documentation

http://pytest-cov.rtfd.org/

Coverage Data File

The data file is erased at the beginning of testing to ensure clean data for each test run. If you need to combine the coverage of several test runs you can use the --cov-append option to append this coverage data to coverage data from previous test runs.

The data file is left at the end of testing so that it is possible to use normal coverage tools to examine it.

Limitations

For distributed testing the workers must have the pytest-cov package installed. This is needed since the plugin must be registered through setuptools for pytest to start the plugin on the worker.

For subprocess measurement environment variables must make it from the main process to the subprocess. The python used by the subprocess must have pytest-cov installed. The subprocess must do normal site initialisation so that the environment variables can be detected and coverage started.

Acknowledgements

Whilst this plugin has been built fresh from the ground up it has been influenced by the work done on pytest-coverage (Ross Lawley, James Mills, Holger Krekel) and nose-cover (Jason Pellerin) which are other coverage plugins.

Ned Batchelder for coverage and its ability to combine the coverage results of parallel runs.

Holger Krekel for pytest with its distributed testing support.

Jason Pellerin for nose.

Michael Foord for unittest2.

No doubt others have contributed to these tools as well.

Owner
pytest-dev
pytest-dev
This is a simple software for fetching new changes to remote repositories automatically.

Git Autofetch Git Autofetch is a simple software for fetching new changes from a repo to local repositories after a set time interval. This program is

Shreyas Ashtamkar 10 Jul 21, 2022
Simple frontend TypeScript testing utility

TSFTest Simple frontend TypeScript testing utility. Installation Install webpack in your project directory: npm install --save-dev webpack webpack-cli

2 Nov 09, 2021
A test fixtures replacement for Python

factory_boy factory_boy is a fixtures replacement based on thoughtbot's factory_bot. As a fixtures replacement tool, it aims to replace static, hard t

FactoryBoy project 3k Jan 05, 2023
Checks for a 200 response from your subdomain list.

Check for available subdomains Written in Python, this terminal based application looks for a 200 response from the subdomain list you've provided. En

Sean 1 Nov 03, 2021
Playwright Python tool practice pytest pytest-bdd screen-play page-object allure cucumber-report

pytest-ui-automatic Playwright Python tool practice pytest pytest-bdd screen-play page-object allure cucumber-report How to run Run tests execute_test

moyu6027 11 Nov 08, 2022
How to Create a YouTube Bot that Increases Views using Python Programming Language

YouTube-Bot-in-Python-Selenium How to Create a YouTube Bot that Increases Views using Python Programming Language. The app is for educational purpose

Edna 14 Jan 03, 2023
Python dilinin Selenium kütüphanesini kullanarak; Amazon, LinkedIn ve ÇiçekSepeti üzerinde test işlemleri yaptığımız bir case study reposudur.

Python dilinin Selenium kütüphanesini kullanarak; Amazon, LinkedIn ve ÇiçekSepeti üzerinde test işlemleri yaptığımız bir case study reposudur. LinkedI

Furkan Gulsen 8 Nov 01, 2022
The evaluator covering all of the metrics required by tasks within the DUE Benchmark.

DUE Evaluator The repository contains the evaluator covering all of the metrics required by tasks within the DUE Benchmark, i.e., set-based F1 (for KI

DUE Benchmark 4 Jan 21, 2022
A tool to auto generate the basic mocks and asserts for faster unit testing

Mock Generator A tool to generate the basic mocks and asserts for faster unit testing. 🎉 New: you can now use pytest-mock-generator, for more fluid p

31 Dec 24, 2022
Simple assertion library for unit testing in python with a fluent API

assertpy Simple assertions library for unit testing in Python with a nice fluent API. Supports both Python 2 and 3. Usage Just import the assert_that

19 Sep 10, 2022
Make Selenium work on Github Actions

Make Selenium work on Github Actions Scraping with BeautifulSoup on GitHub Actions is easy-peasy. But what about Selenium?? After you jump through som

Jonathan Soma 33 Dec 27, 2022
Yet another python home automation project. Because a smart light is more than just on or off

Automate home Yet another home automation project because a smart light is more than just on or off. Overview When talking about home automation there

Maja Massarini 62 Oct 10, 2022
Test django schema and data migrations, including migrations' order and best practices.

django-test-migrations Features Allows to test django schema and data migrations Allows to test both forward and rollback migrations Allows to test th

wemake.services 382 Dec 27, 2022
A modern API testing tool for web applications built with Open API and GraphQL specifications.

Schemathesis Schemathesis is a modern API testing tool for web applications built with Open API and GraphQL specifications. It reads the application s

Schemathesis.io 1.6k Jan 06, 2023
BDD library for the py.test runner

BDD library for the py.test runner pytest-bdd implements a subset of the Gherkin language to enable automating project requirements testing and to fac

pytest-dev 1.1k Jan 09, 2023
Divide full port scan results and use it for targeted Nmap runs

Divide Et Impera And Scan (and also merge the scan results) DivideAndScan is used to efficiently automate port scanning routine by splitting it into 3

snovvcrash 226 Dec 30, 2022
Python package to easily work with selenium and manage tabs effectively.

Simple Selenium The aim of this package is to quickly get started with working with selenium for simple browser automation tasks. Installation Install

Vishal Kumar Mishra 1 Oct 27, 2021
Donors data of Tamil Nadu Chief Ministers Relief Fund scrapped from https://ereceipt.tn.gov.in/cmprf/Interface/CMPRF/MonthWiseReport

Tamil Nadu Chief Minister's Relief Fund Donors Scrapped data from https://ereceipt.tn.gov.in/cmprf/Interface/CMPRF/MonthWiseReport Scrapper scrapper.p

Arunmozhi 5 May 18, 2021
A framework-agnostic library for testing ASGI web applications

async-asgi-testclient Async ASGI TestClient is a library for testing web applications that implements ASGI specification (version 2 and 3). The motiva

122 Nov 22, 2022
Enabling easy statistical significance testing for deep neural networks.

deep-significance: Easy and Better Significance Testing for Deep Neural Networks Contents ⁉️ Why 📥 Installation 🔖 Examples Intermezzo: Almost Stocha

Dennis Ulmer 270 Dec 20, 2022