Python Book
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  • Book overview
  • Notes about this book
  • 1. Introduction to Python
    • What is Python
    • Basic syntax
    • Objects in Python
    • Python overview
    • Installation, IDEs etc.
    • ipython
    • Sources for self-learning
  • 2. Strings and numbers
    • Getting help
    • Introspection
    • Basic types
    • None object
    • Numbers
    • Strings
    • Unicode
    • String Formatting
    • Regular expressions
    • Sources for self-learning
  • 3. Containers
    • Data Structures
    • Lists
    • Tuples
    • Dictionaries
    • Sets
    • Conditions
    • Loops
    • Additional modules
    • Sources for self-learning
  • 4. Functions
    • Functions
    • Scopes of visibility
    • Generators
    • Lambdas
    • Type hints
    • Function internals
    • Sources for self-learning
  • 5. Functional Programming
    • Builtins
    • Iterable
    • Iterator
    • Functional Programming
    • Functools
    • Comprehensions
    • Additional modules
    • Sources for self-learning
  • 6. Code Styling
    • Zen of Python
    • Lint
    • PEP 8
    • Modules
    • Packages
    • Sources for self-learning
  • 7. OOP
    • OOP Basics
    • Code design principles
    • Classes
    • Method Resolution Order
    • Magic attributes and methods
    • Super
    • Sources for self-learning
  • 8. Decorators, Exceptions
    • Decorators
    • Exceptions
    • Sources for self-learning
  • 9. Testing
    • Basic Terminology
    • Testing theory
    • Dev unit testing vs QA automated testing
    • Best Practices
    • Doctest
    • Unittest
    • Test Runners
    • Pytest
    • Nose
    • Continuous Integration
  • 10. System Libs
    • Working with files
    • System libraries
    • Subprocess
    • Additional CLI libraries
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  1. 9. Testing

Test Runners

test runner - is a component which orchestrates the execution of tests and provides the outcome to the user. The runner may use a graphical interface, a textual interface, or return a special value to indicate the results of executing the tests.

unittest framework is very popular and used in many projects. But there is one area that often is replaced with parts of other testing frameworks - test runner component.

Modern framework do much better in term of auto-discovery of tests than unittest.

Unittest Test Discovery

You can run unit test (written via unittest) with the CLI command python -m unittest. The help for this command is:

> python -m unittest --help
usage: python.exe -m unittest [-h] [-v] [-q] [--locals] [-f] [-c] [-b]
                              [-k TESTNAMEPATTERNS]
                              [tests [tests ...]]

positional arguments:
  tests                a list of any number of test modules, classes and test
                       methods.

optional arguments:
  -h, --help           show this help message and exit
  -v, --verbose        Verbose output
  -q, --quiet          Quiet output
  --locals             Show local variables in tracebacks
  -f, --failfast       Stop on first fail or error
  -c, --catch          Catch Ctrl-C and display results so far
  -b, --buffer         Buffer stdout and stderr during tests
  -k TESTNAMEPATTERNS  Only run tests which match the given substring

From Python 3.2 unittest has it's own Test Discovery (if comparing to other framework's test runner/discovery the options are pretty basic):

> python.exe -m unittest discover [-h] [-v] [-q] [--locals] [-f] [-c]
                                       [-b] [-k TESTNAMEPATTERNS] [-s START]
                                       [-p PATTERN] [-t TOP]

optional arguments:
  -h, --help            show this help message and exit
  -v, --verbose         Verbose output
  -q, --quiet           Quiet output
  --locals              Show local variables in tracebacks
  -f, --failfast        Stop on first fail or error
  -c, --catch           Catch Ctrl-C and display results so far
  -b, --buffer          Buffer stdout and stderr during tests
  -k TESTNAMEPATTERNS   Only run tests which match the given substring
  -s START, --start-directory START
                        Directory to start discovery ('.' default)
  -p PATTERN, --pattern PATTERN
                        Pattern to match tests ('test*.py' default)
  -t TOP, --top-level-directory TOP
                        Top level directory of project (defaults to start
                        directory)

For test discovery all test modules must be importable from the top level
directory of the project.
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