Test & Code - Python Testing & Development

pytest-metadata is described as a plugin for pytest that provides access to test session metadata. That is such a humble description for such a massively useful plugin. If you're already using pytest-html, you have pytest-metadata already installed, as pytest-metadata is one of the dependencies for pytest-html.However, pytest-metadata is very useful even on its own.Links:pytest-metadata - The plugin we're talking about in this episodepytest-base-url - Adds the base URL to the metadata.pytest-html - Displays the metadata at the start of each report. See S2:E6: pytest-html - a plugin that generates HTML reports for test resultspytest-reporter-html1 - Presents metadata as part of the report.pytest-selenium - Adds the driver, capabilities, and remote server to the metadata.If you've got other plugins that work well with pytest-metadata, please let me know. Sponsored by: Porkbun -- named the #1 domain registrar by USA Today from 2023 to 2025!Get a .app or.dev domain name for only $5.99 first year.Help support the

pytest-check is a pytest plugin that allows multiple failures per test.Normally, a test function will fail and stop running with the first failed assert. That's totally fine for tons of kinds of software tests. However, there are times where you'd like to check more than one thing, and you'd really like to know the results of each check, even if one of them fails.pytest-check allows multiple failed "checks" per test function, so you can see the whole picture of what's going wrong.Links:pytest-checkTop pytest plugins Sponsored by: Porkbun -- named the #1 domain registrar by USA Today from 2023 to 2025!Get a .app or.dev domain name for only $5.99 first year.Learn pytest: The Complete pytest course is now a bundle, with each part available separately.pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CIThen pytest Booster Rockets can

AI is helping people write code.  Tests are one of those things that some people don't like to write.   Can AI play a role in creating automated software tests?  Well, yes. But it's a nuanced yes.  Anthony Shaw comes on the show to discuss the topic and try to get AI to write some test for my very own cards project.We discuss:The promise of AI writing your tests for youDownsides to not writing tests yourselfBad ways to generate testsGood ways to ask AI for help in writing testsTricks to get better results while using copilot and other AI toolsLinks:The cards projectA video version of this discussion: Should AI write tests? Sponsored by: Porkbun -- named the #1 domain registrar by USA Today from 2023 to 2025!Get a .app or.dev domain name for only $5.99 first year.Learn pytest: The Complete pytest course is now a bundle, with each part available separately.pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.Using pytest with Projects has lots of "when you nee

pytest-repeat is a pytest plugin that makes it easy to repeat a single test, or multiple tests, a specific number of times.  works fine on Python 3.14is tested on Python 3.9-3.14probably works fine still on 3.7 & 3.8This episode also discusses the attempted April Fools episode.Links:pytest-repeatThe April Fools episode: Python 3.14 won't repeat with pytest-repeat Sponsored by: The Complete pytest course is now a bundle, with each part available separately.pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CIThen pytest Booster Rockets can help with advanced parametrization and building plugins.Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★

pytest-repeat is a pytest plugin that makes it easy to repeat a single test, or multiple tests, a specific number of times.  Unfortunately, it doesn't seem to work with Python 3.14, even though there is no rational reason why it shouldn't work.Links:pytest-repeatGuido van Rossum returns as Python's BDFL Sponsored by: The Complete pytest course is now a bundle, with each part available separately.pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CIThen pytest Booster Rockets can help with advanced parametrization and building plugins.Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★

pytest-html has got to be one of my all time favorite plugins. pytest-html is a plugin for pytest that generates a HTML report for test results. This episode digs into some of the super coolness of pytest-html.pytest-htmlrepo readme with screenshotenhancing reportspytest-metadata Sponsored by: The Complete pytest course is now a bundle, with each part available separately.pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CIThen pytest Booster Rockets can help with advanced parametrization and building plugins.Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★

Markdown reports as either text or markdown tables.Two fun plugins discussed.Links:pytest-md-reportpytest-mdTop pytest Plugins  Learn pytestpytest is the number one test framework for Python.Learn the basics super fast with Hello, pytest!Then later you can become a pytest expert with The Complete pytest CourseBoth courses are at courses.pythontest.com ★ Support this podcast on Patreon ★

This episode is a replay of a 2021 interview I did with Michael Foord.We lost Michael in January, and I'd like to revisit this interview as a tribute. Michael Foord was a pivotal figure in the Python community and the creator of the mock library that's now unittest.mock. But he did so much more as well. His contributions continue to resonate within the developer community. This interview is just a small peek at his influence. In this episodeIntroduction to Michael FoordThe Mock Library OriginsMocking and Testing PhilosophyCareer Path and ConsultingUnderstanding MockingThe Power of PatchTesting Strategies and DesignMocking External DependenciesTeaching Testing and Mockingpython.org has put up an "In memoriam" page for Michael Foord, and many people have shared stories and memories.Links:In memoriam: Michael Foord 1974-202530 best practices for software development and testing

pytest-mock is currently the #3 pytest plugin. pytest-mock is a wrapper around unittest.mock.In this episode:Why the pytest-mock plugin is awesomeWhat is mocking, patching, and monkey patchingWhat, if any, is the difference between mock, fake, spy, stub. Why we might need these in testingSome history of mock in Python and how mock became unittest.mockFrom unittest.mockpatch.objectpatch.object with autospecusing these as context managerspytest-mock:The mocker fixture Cleanup in teardownUsing mocker.patch, mocker.spy, and mocker.stubWhy it's awesome and why you might want to use it over straight unittest.mockLinks:top pytest plugins listpytest-mock documentationunittest.mockPodcast episode discussing unittest.mock with Michael Foordmonkeypatch  Learn pytestpytest is the number one test framework for Python.Learn the basics super fast with Hello, pytest!Then later you can become a pytest expert with The Complete pytest CourseBoth courses are at courses.pythontest.com

pytest-cov is a pytest plugin that helps produce coverage reports using Coverage.py.In this episode, we'll discuss:what Coverage.py iswhy you should measure code coverage on both your source and test codewhat pytest-cov isextra features pytest-cov gives you over and above coverage.pyand generally why using both is awesomeLinks:coverage.pypytest-covhow to set up context reportsTop pytest PluginsErrata:I mentioned that Coverage has the ability to show context (which line is covered by which test) for the past year or so.However, that feature was released in Oct 2018. coverage 5.0 alpha That's over 6 years. Oops. Sorry Ned.  Learn pytestpytest is the number one test framework for Python.Learn the basics super fast with Hello, pytest!Then later you can become a pytest expert with The Complete pytest CourseBoth courses are at courses.pythontest.com

This episode kicks off a season of pytest plugins.In this episode:Introduction to pytest pluginsThe pytest.org pytest plugin listFinding pytest related packages on PyPIThe Top pytest plugins list on pythontest.comExploring popular pluginsLearning from plugin examplesLinks:Top pytest plugins listpytest.org plugin listTop PyPI PackagesAnd links to plugins mentioned in the show can be found at pythontest.com/top-pytest-plugins  Learn pytestpytest is the number one test framework for Python.Learn the basics super fast with Hello, pytest!Then later you can become a pytest expert with The Complete pytest CourseBoth courses are at courses.pythontest.com

Taking notes well can help to listen better, remember things, show respect, be more accountable, free up mind space to solve problems.This episode discussesthe benefits of writing things downpreparing for a meetingtaking notes in meetingsreviewing notes for action items, todo items, things to follow up on, etc.taking notes to allow for better focuswriting well structured emailswriting blog posts and books  Learn pytestpytest is the number one test framework for Python.Learn the basics super fast with Hello, pytest!Then later you can become a pytest expert with The Complete pytest CourseBoth courses are at courses.pythontest.com

In this episode we're talking about importing part of a package into another part of the same package.We'll look at: `from . import module` and `from .module import something`and also:  `import package` to access the external API from with the package.Why would we use `import package` if `from . import api` would work fine?  Learn pytestpytest is the number one test framework for Python.Learn the basics super fast with Hello, pytest!Then later you can become a pytest expert with The Complete pytest CourseBoth courses are at courses.pythontest.com

We've got some code we want to test, and some tests.The tests need to be able to import the code under test, or at least the API to it, in order to run tests against it.How do we do that? How do we set things up so that our tests can import our code?In this episode, we discuss two options:Installing the code under test as a pip installable package with `pip install -e /path/to/local/package`.Using the pythonpath pytest setting. Sponsored by Mailtrap.ioAn Email Delivery Platform that developers love. An email-sending solution with industry-best analytics, SMTP, and email API, SDKs for major programming languages, and 24/7 human support. Try for Free at MAILTRAP.IOSponsored by The Complete pytest CourseFor the fastest way to learn pytest, go to courses.pythontest.comWhether your new to testing or pytest, or just want to maximize your efficiency and effectiveness when testing.

PyCon US is just around the corner.  I've asked Rob Ludwick to come on the show to discuss how to get the most out of your PyCon experience. There's a lot to do. A lot of activities to juggle, including actual juggling, which is where we start the conversation.Even if you never get a chance to go to PyCon, I hope this interview helps you get a feel for the welcoming aspect of the Python community.I recorded this interview as an episode for one of my other podcasts, Python People. But I think it's got some great pre-conference advice, so I'm sharing it here on Python Test as well.We talk about: - Juggling at PyCon- How to get the most out of PyCon    - Watching talks    - Hallway track    - Open spaces    - Lightening talks    - Expo hall / vendor space    - Poster sessions    - Job fair    - A welcoming community    - Tutorials     - Sprints    - But mostly about the people of Python and PyCon."Python enables smart people to work faster" - Rob Ludwick Sponsored by Mailtrap.ioAn Email Delivery Platform that de

I'm starting a SaaS project using Django, and there are tons of decisions right out of the gate. To help me navigate these decisions, I've brought on Cory Zue.   Cory is the creator of SaaS Pegasus, and has tons of experience with Django.Some of the topics discussed:Building Django applicationsSaaS Pegasusplacecard.meWhat boilerplate projects areDjango cookiecutterCookiecutterWhich database to use, probably PostgreSQLAuthentication choises, probably AllauthDocker, Docker for development, Docker for deploymentDeployment targets / hosting services. Render, Heroku, Fly.io, for PaaS options.Front end frameworks. Bootstrap, Tailwind, DaisyUI, TailwindUIHTMX vs React vs straight Django templatesRocketsFont Awesomeand of course, SaaS Pegasus Sponsored by Mailtrap.ioAn Email Delivery Platform that developers love. An email-sending solution with industry-best analytics, SMTP, and email API, SDKs for major programming languages, and 24/7 human support. Try for Free at MAILTRAP.IOSponsored by PyCharm ProUse code PYTEST

Nicole is a software engineer and writer, and recently wrote about the trade-offs we make when deciding which tests to write and how much testing is enough.We talk about:Balancing schedule vs testingHow much testing is the right about of testingShould code coverage be measured and trackedGood refactoring can reduce code coverageIs it worth testing error conditions?Are rare error codes ok to just monitor?API drift and autospecMitigating riskDeciding what to test and what not to testFocus testing on key money-making features If there's a bug in this part of the code, how much business impact is there?Performance testing needs to approximately match real world workloadsCost of a service breaking vs the cost of creating, maintaining, and running testsKeeping test suites quick to minimize getting distractedLinks:Too much of a good thing: the trade-off we make with tests Load testing is hard, and the tools are... not great. But why?Yet Another Rust Resource (YARR!)Goodhart's law - "When a measure becomes a target,

If you've ever thought about starting a podcast or a SaaS project, you'll want to listen to this episode. Justin is one of the people who motivated me to get started podcasting. He's also running a successful SaaS company, transistor.fm, which hosts this podcast.Topics:PodcastingBuilding new SaaS (software as a service) productsBalancing work, side hustle, and familyGreat places to snowboard in British ColumbiaBTW. This episode was recorded last summer before I switched to transistor.fm.I'm now on Transistor for most of a year now, and I love it.Links from the show:Transistor.fm - excellent podcast hosting, Justin is a co-founderHow to start a podcast in 2024Podcasts from JustinBuild your SaaS - currentBuild & Launch - an older one, but greatMegaMaker - from 2021 / 2022 Sponsored by Mailtrap.ioAn Email Delivery Platform that developers love. An email-sending solution with industry-best analytics, SMTP, an email API, SDKs for major programming languages, and 24/7 human support. Try for Free at MAILTRAP.IOS

Charlie Marsh and team are using Rust to make Python tooling faster.Ruff can take the place of Flake8, isort, and Black, and so much more.uv can take the place of pip, pip-tools, and virtualenvAstral is Charlie's venture backed company, and what they have with `ruff` and `uv` is just the start.Since uv is the newest tool, there's quite a bit of the discussion diving into uv.Links:ruffAstraluv Sponsored by PyCharm ProUse code PYTEST for 20% off PyCharm Professional at jetbrains.com/pycharmFirst 10 to sign up this month get a free month of AI AssistantSee how easy it is to run pytest from PyCharm at pythontest.com/pycharmThe Complete pytest CourseFor the fastest way to learn pytest, go to courses.pythontest.comWhether your new to testing or pytest, or just want to maximize your efficiency and effectiveness when testing.

Software engineers that move into leadership roles have a struggle between learning leadership skills, maintaining technical skills, and learning new leadership and technical skills. Matt Makai went from individual contributor to developer relations to leadership in devrel. We discuss how to stay technical, as well as dive into some results of his studies in how companies use developer relationship channels. Sponsored by PyCharm ProUse code PYTEST for 20% off PyCharm Professional at jetbrains.com/pycharmFirst 10 to sign up this month get a free month of AI AssistantSee how easy it is to run pytest from PyCharm at pythontest.com/pycharmThe Complete pytest CourseFor the fastest way to learn pytest, go to courses.pythontest.comWhether your new to testing or pytest, or just want to maximize your efficiency and effectiveness when testing.