pytest | The pytest framework makes it easy to write small tests, yet scales to support complex functional te | Functional Testing library

 by   pytest-dev Python Version: 8.1.1 License: MIT

kandi X-RAY | pytest Summary

kandi X-RAY | pytest Summary

pytest is a Python library typically used in Testing, Functional Testing applications. pytest has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install pytest' or download it from GitHub, PyPI.

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

            kandi-support Support

              pytest has a highly active ecosystem.
              It has 10300 star(s) with 2352 fork(s). There are 195 watchers for this library.
              There were 9 major release(s) in the last 6 months.
              There are 797 open issues and 4505 have been closed. On average issues are closed in 198 days. There are 60 open pull requests and 0 closed requests.
              It has a negative sentiment in the developer community.
              The latest version of pytest is 8.1.1

            kandi-Quality Quality

              pytest has 0 bugs and 0 code smells.

            kandi-Security Security

              pytest has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pytest code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pytest is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pytest releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              pytest saves you 50486 person hours of effort in developing the same functionality from scratch.
              It has 62035 lines of code, 4760 functions and 251 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pytest and discovered the below as its top functions. This is intended to give you an instant insight into pytest implemented functionality, and help decide if they suit your requirements.
            • Generate a pre release
            • Check links
            • Fix format formatting
            • Announce the given version
            • Prepare release PR
            • Login to GitHub
            • Find the next version
            • Print a list of issues
            • Get the kind of an issue
            • Iterate over all installed plugins
            • Escapes special characters
            • Configure Sphinx extension
            • Configure logging
            • Parse a changelog rst file
            • Get list of issues
            • Test for dynamic compile
            • Test a test error
            • Publish a GitHub release
            • Tries to print the first item of the function
            • Convert rst to markdown
            Get all kandi verified functions for this library.

            pytest Key Features

            No Key Features are available at this moment for pytest.

            pytest Examples and Code Snippets

            A session-fixture which can look at all collected tests
            Pythondot img1Lines of Code : 62dot img1License : Permissive (MIT)
            copy iconCopy
            # content of
            import pytest
            @pytest.fixture(scope="session", autouse=True)
            def callattr_ahead_of_alltests(request):
                print("callattr_ahead_of_alltests called")
                seen = {None}
                session = request.node
                for item in session.item  
            example: specifying and selecting acceptance tests
            Pythondot img2Lines of Code : 26dot img2License : Permissive (MIT)
            copy iconCopy
            # ./
            def pytest_option(parser):
                group = parser.getgroup("myproject")
                    "-A", dest="acceptance", action="store_true", help="run (slow) acceptance tests"
            def pytest_funcarg__accept(request):
            Pythondot img3Lines of Code : 23dot img3License : Permissive (MIT)
            copy iconCopy
            # content of
            def inc(x):
                return x + 1
            def test_answer():
                assert inc(3) == 5
            $ pytest
            ============================= test session starts =============================
            collected 1 items
            pytest - failure demo
            Pythondot img4Lines of Code : 194dot img4License : Permissive (MIT License)
            copy iconCopy
            import pytest
            from pytest import raises
            def otherfunc(a, b):
                assert a == b
            def somefunc(x, y):
                otherfunc(x, y)
            def otherfunc_multi(a, b):
                assert a == b
            @pytest.mark.parametrize("param1, param2", [(3, 6)])
            def test_generative(param  
            pytest - multipython
            Pythondot img5Lines of Code : 41dot img5License : Permissive (MIT License)
            copy iconCopy
            module containing a parametrized tests testing cross-python
            serialization via the pickle module.
            import shutil
            import subprocess
            import textwrap
            import pytest
            pythonlist = ["python3.5", "python3.6", "python3.7"]
            sanic - pytest xdist
            Pythondot img6Lines of Code : 30dot img6License : Permissive (MIT License)
            copy iconCopy
            """pytest-xdist example for sanic server
            Install testing tools:
                $ pip install pytest pytest-xdist
            Run with xdist params:
                $ pytest examples/ -n 8  # 8 workers
            import re
            import pytest
            from sanic_testing import SanicTest  

            Community Discussions


            TypeError: __init__() got an unexpected keyword argument 'as_tuple'
            Asked 2022-Mar-29 at 23:24

            While I am testing my API I recently started to get the error below.



            Answered 2022-Mar-29 at 13:29

            As of version 2.1.0, werkzeug has removed the as_tuple argument to Client. Since Flask wraps werkzeug and you're using a version that still passes this argument, it will fail. See the exact change on the GitHub PR here.

            You can take one of two paths to solve this:

            1. Upgrade flask

            2. Pin your werkzeug version



            PIP failed to build package cytoolz
            Asked 2022-Mar-26 at 18:26

            I'm trying to install eth-brownie using 'pipx install eth-brownie' but I get an error saying



            Answered 2022-Jan-02 at 09:59

            I used pip install eth-brownie and it worked fine, I didnt need to downgrade. Im new to this maybe I could be wrong but it worked fine with me.



            How to query additional databases using cursor in Django Pytests
            Asked 2022-Feb-24 at 05:48

            I am developing a Django app (Django v3.2.10, pytest v7.0.1, pytest-django v4.5.2) which uses cursor to perform raw queries to my secondary DB: my_db2, but when running tests, all the queries return empty results, like if they were running on parallel transactions.

            My test file:



            Answered 2022-Feb-24 at 05:47

            @hoefling and @Arkadiusz Łukasiewicz were right, I just needed to add the corresponding DB within the factories:



            How to get caller name inside pytest fixture?
            Asked 2022-Feb-18 at 22:26

            Assume we have:



            Answered 2022-Feb-18 at 22:26

            You can use the built-in request fixture in your own fixture:

            The request fixture is a special fixture providing information of the requesting test function.

            Its node attribute is the

            Underlying collection node (depends on current request scope).



            Pytest asserting fixture after teardown
            Asked 2022-Feb-03 at 15:32

            I have a test that makes a thing, validates it, deletes the thing and confirms it was deleted.



            Answered 2022-Feb-03 at 11:24

            If you want to test that a "thing" is deleted, make a fixture without teardown, delete it in the test, then assert if it is deleted.



            pytest: full cleanup between tests
            Asked 2021-Dec-21 at 12:19

            In a module, I have two tests:



            Answered 2021-Dec-16 at 06:15

            The current structure of myfixture guarantee cleanup() is called between test_1 and test_2, unless prepare_stuff() is raising an unhandled exception. You will probably notice this, so the most likely issue is that cleanup() dosn't "clean" everything prepare_stuff() did, so prepare_stuff() can't setup something again.

            As for your question, there is nothing pytest related that can cause the hang between the tests. You can force cleanup() to be called (even if an exception is being raised) by adding finalizer, it will be called after the teardown part



            jaydebeapi under pytest leaking environment variable content in logs
            Asked 2021-Dec-13 at 14:14

            I am connecting to a db using jaydebeapi and a jdbc driver using the following snippet, that works fine when the all parameters are correctly specified. I am storing my credentials in environment variables e.g. os.environ.get('credentials')



            Answered 2021-Dec-13 at 14:14

            You are using the default traceback logger of pytest, which also logs the arguments passed to a specific function. One way to solve this kind of leak is to use another traceback mode. You can find the general documentation at this link. In that link you can find two interesting traceback modes:

            • --tb=short
            • --tb=native

            Both give you all the information you need during your specific test since:

            • They still give you information about the tests failed or succeded
            • Since you are using parametrized tests, the logs about failures will look like FAILED[server_name-server_jdbc_port-server_database-name_env_credentials-name_env_pwd], in this way you can identify the actual failing test

            Mind that this solution, while avoiding to log the credentials used at test time, these credentials used during testing must not be the same that will be used outside the test environment. If you are concerned with the fact that in case of failures in production, the logger could leak your credentials, you should setup you logger accordingly and avoid to log the default text of the exception.



            How to test async function using pytest?
            Asked 2021-Nov-18 at 08:02
            def d_service():
                c = DService()
                return c
            # @pytest.mark.asyncio  # tried it too
            async def test_get_file_list(d_service):
                files = await d_service.get_file_list('')


            Answered 2021-Nov-18 at 08:02

            This works for me, please try:



            How to use pytest to simulate full reboot
            Asked 2021-Nov-08 at 16:04

            How do I test that my program is robust to unexpected shut-downs?

            My python code will run on a microcontroller that shuts off unexpectedly. I would like to test each part of the code rebooting unexpectedly and verify that it handles this correctly.

            Attempt: I tried putting code into its own process, then terminating it early, but this doesn't work because MyClass calls 7zip from the command line which continues even after process dies:



            Answered 2021-Nov-07 at 17:44

            Your logic starts a process wrapped within the MyClass object which itself spawns a new process via the os.system call.

            When you terminate the MyClass process, you kill the parent process but you leave the 7zip process running as orphan.

            Moreover, the process.terminate method sends a SIGTERM signal to the child process. The child process can intercept said signal and perform some cleanup routines before terminating. This is not ideal if you want to simulate a situation where there is no chance to clean up (a power loss). You most likely want to send a SIGKILL signal instead (on Linux).

            To kill the parent and child process, you need to address the entire process group.



            How to set environment variable in pytest
            Asked 2021-Oct-19 at 03:02

            I have a lamba handler that uses an environment variable. How can I set that value using pytest. I'm getting the error



            Answered 2021-Oct-19 at 03:02

            You're getting the failure before your monkeypatch is able to run. The loading of the environment variable will happen when the runner module is first imported.

            If this is a module you own, I'd recommend modifying the code to use a default value if DATA_ENGINEERING_BUCKET isn't set. Then you can modify it's value to whatever you want at runtime by calling module.DATA_ENGINEERING_BUCKET = "my_bucket".


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install pytest

            You can install using 'pip install pytest' or download it from GitHub, PyPI.
            You can use pytest like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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