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pytest

Information Technology > Program testing

Description

Pytest is a powerful testing framework in Python that allows developers to write simple to complex functional and non-functional tests. It supports the creation of small, atomic tests, while also enabling the user to scale up to complex functional testing for applications and libraries. Pytest provides features like 'assert' for checking results, 'fixtures' for setup and teardown code, 'parameterization' for running a test with multiple inputs, and 'marks' for categorizing tests. Advanced users can even write plugins to extend pytest's functionality. With its easy-to-write syntax and rich feature set, pytest helps ensure your code works as expected.

Expected Behaviors

✎
LEVEL 1

Fundamental Awareness

At this level, individuals are expected to understand the basic purpose of pytest and its role in software development. They should be familiar with the structure of a pytest test and know how to define a simple test function. Additionally, they should be able to run tests using pytest and interpret the results.

🌱
LEVEL 2

Novice

Novices should be capable of writing simple test functions and using assert statements to verify outcomes. They should know how to run individual test files and interpret the output from pytest. They should also be able to handle test failures and errors effectively.

🌍
LEVEL 3

Intermediate

Intermediate users should be proficient in grouping tests into classes and using setup and teardown methods for test preparation and cleanup. They should be able to parameterize tests to run with different inputs, skip tests under certain conditions, and mark tests with custom labels.

⭐
LEVEL 4

Advanced

Advanced users should be adept at using fixtures for complex setup and teardown operations, sharing fixtures across multiple test files, and controlling test execution order. They should be able to customize pytest behavior with command line options and integrate pytest with other tools like coverage.py.

🏆
LEVEL 5

Expert

Experts should have the skills to write custom pytest plugins and extend pytest with hooks to add new functionality. They should be able to configure the pytest.ini file for project-specific settings, optimize test execution for large test suites, and debug complex test failures.

Micro Skills

✎
LEVEL 1

Fundamental Awareness

Recognizing the need for automated testing
Identifying the role of pytest in automated testing
Comparing pytest with other testing frameworks
Identifying the components of a pytest test function
Understanding the use of assert statements
Recognizing the naming conventions for test functions
Understanding the def keyword in Python
Knowing how to write a function in Python
Recognizing the importance of indentation in Python syntax
Knowing how to open a terminal or command prompt
Understanding how to navigate to the correct directory
Recognizing the command to run pytest
🌱
LEVEL 2

Novice

Understanding the structure of a test function
Knowing how to name a test function
Writing a basic assert statement within a test function
Understanding the purpose of assert statements
Knowing the syntax for writing assert statements
Writing assert statements to check for expected outcomes
Writing assert statements to check for exceptions
Knowing the command to run pytest on a single file
Understanding how pytest discovers tests within a file
Interpreting the output of a pytest run
Recognizing successful test output
Recognizing failed test output
Understanding the summary information provided by pytest
Identifying the cause of a test failure from pytest output
Fixing common causes of test failures
Rerunning failed tests
🌍
LEVEL 3

Intermediate

Understanding the structure of a test class
Defining multiple test methods within a class
Using setup and teardown methods within a class
Understanding the purpose of setup and teardown methods
Implementing setup methods to prepare for tests
Implementing teardown methods to clean up after tests
Understanding the concept of parameterized testing
Using the pytest.mark.parametrize decorator
Defining multiple sets of parameters for a single test
Handling test failures for specific sets of parameters
Understanding when and why to skip tests
Using the pytest.mark.skip and pytest.mark.skipif decorators
Skipping entire test classes or modules
Reporting skipped tests in pytest output
Understanding the purpose of custom markers
Defining custom markers using pytest.mark
Applying custom markers to tests, classes, or modules
Running only tests with certain markers
⭐
LEVEL 4

Advanced

Understanding the scope of fixtures
Creating modular fixtures for reuse
Using fixture finalization to cleanup after tests
Parameterizing fixtures for different test scenarios
Defining fixtures in conftest.py files
Importing shared fixtures into test files
Overriding shared fixtures in individual test files
Using pytest.mark to order tests
Understanding the default test order
Customizing test order with pytest-ordering plugin
Using built-in command line options like -k and -x
Adding custom command line options with pytest_addoption
Accessing command line options in tests with request.config.getoption
Running pytest with coverage.py using pytest-cov plugin
Configuring coverage.py settings for pytest
Interpreting coverage reports generated by pytest
🏆
LEVEL 5

Expert

Understanding the pytest plugin architecture
Creating a new plugin using pytest's boilerplate code
Defining custom command line options in a plugin
Implementing hooks in a plugin
Packaging and distributing a pytest plugin
Understanding the pytest hook system
Identifying when to use different types of hooks
Writing a hook implementation
Registering a hook with pytest
Handling errors in hook implementations
Knowing the structure of a pytest.ini file
Setting default command line options in pytest.ini
Defining custom markers in pytest.ini
Controlling test discovery with pytest.ini
Troubleshooting issues with pytest.ini configuration
Using pytest-xdist to run tests in parallel
Profiling test execution to identify slow tests
Organizing tests to minimize setup and teardown time
Running subsets of tests based on markers or filenames
Integrating pytest with continuous integration systems for automated testing
Using pytest's detailed error reports
Running pytest with pdb for interactive debugging
Analyzing test coverage to identify untested code
Isolating test failures for easier reproduction
Writing regression tests for fixed bugs

Skill Overview

  • Expert2 years experience
  • Micro-skills87
  • Roles requiring skill0

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