A framework for writing automated tests focussing on fixtures (non xUnit based).
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README.md

#pyfix Build Status

pyfix is a test framework for Python.

##Introduction

pyfix is a framework used to write automated software tests. It is similar to tools like unittest in purpose but unlike most of the unit testing frameworks being around today it is not based on the xUnit design.

pyfix can be used for different types of tests (including unit tests, integration tests, system tests, functional tests and even acceptance tests) although the primary targets are more technical tests (such as unit or integration tests).

How to install it?

pyfix is available via the Cheeseshop so you can use easy_install or pip:

$ pip install pyfix

How to use it?

pyfix focusses on writing test functions. Each test a function that lives in module. Here is some trival example (the use of pyassert is not mandatory although it follows the same idea of having easy to read tests).

from pyfix import test, run_tests
from pyassert import assert_that

@test
def ensure_that_two_plus_two_equals_four ():
    assert_that(2 + 2).equals(4)

@test
def ensure_that_two_plus_three_equals_five ():
    assert_that(2 + 3).equals(5)

if __name__ == "__main__":
    run_tests()

If you execute this file you should see the following output:

pyfix version 0.1.3.

Running 2 tests.
--------------------------------------------------------------------------------
Ensure that two plus three equals five: passed [0 ms]
Ensure that two plus two equals four: passed [0 ms]
--------------------------------------------------------------------------------
TEST RESULTS SUMMARY
	  2 tests executed
	  0 tests failed
ALL TESTS PASSED

Fixtures: Injecting values

One of the main strengths of pyfix is the ability to inject parameters to tests. See this example:

from pyfix import test, run_tests, given
from pyassert import assert_that

class Accumulator(object):
    def __init__ (self):
        self.sum = 0

    def add (self, number=1):
        self.sum += number


@test
@given(accumulator=Accumulator)
def ensure_that_adding_two_yields_two (accumulator):
    accumulator.add(2)
    assert_that(accumulator.sum).equals(2)


if __name__ == "__main__":
    run_tests()

pyfix will instantiate an Accumulator for you and inject it using the accumulator parameter. Note that there is nothing special about the Accumulator; it's a plain Python class.

If you want to do some complex initialization and/ or clean up stuff, pyfix provides the Fixture interface which defines hooks for these lifecycle phases.

from pyfix import test, run_tests, given, Fixture
from pyassert import assert_that

class Accumulator(object):
    def __init__ (self):
        self.sum = 0

    def add (self, number=1):
        self.sum += number


class InitializedAccumulator (Fixture):
    def provide (self):
        result = Accumulator()
        result.add(2)
        return [result]


@test
@given(accumulator=InitializedAccumulator)
def ensure_that_adding_two_to_two_yields_four (accumulator):
    accumulator.add(2)
    assert_that(accumulator.sum).equals(4)


if __name__ == "__main__":
    run_tests()

Parameterized Tests: Providing more than one Value

As you might have noticed in the last example, the provide method from the Fixture returned a list and not just a single value. Every fixture can return more than one value. pyfix will use all values provided by all fixtures and calculate all valid permutations of parameter values and then invoke a single test method for each permutation. Using this feature it is easy to write parameterized tests.

The simplest variant of a parameterized test is a test accepting one parameter that we provide a set of values for. pyfix provides the enumerate utility function to let you write such a test in an easy way:

from pyfix import test, run_tests, given, enumerate
from pyassert import assert_that

KNOWN_PRIMES = [2, 3, 5, 7, 11, 13, 17, 19]

def is_prime(number):
    return number in KNOWN_PRIMES


@test
@given(number=enumerate(2, 3, 5, 7, 11))
def is_prime_should_return_true_when_prime_is_given(number):
    assert_that(is_prime(number)).is_true()


if __name__ == "__main__":
    run_tests()

Please notice that this example is intended to demonstrate the test and not the implementation of is_prime which indeed is brain dead.

If you run this module you should see an output like the following:

pyfix version 0.1.3.

Running 1 tests.
--------------------------------------------------------------------------------
Is prime should return true when prime is given:
	number=2: passed [0 ms]
	number=3: passed [0 ms]
	number=5: passed [0 ms]
	number=7: passed [0 ms]
	number=11: passed [0 ms]
--------------------------------------------------------------------------------
TEST RESULTS SUMMARY
	  5 tests executed in 0 ms
	  0 tests failed
ALL TESTS PASSED

Interceptors - Executing Code before and/ or after a test function

If you want to execute any code before or after a test function you can register an interceptor to do so:

__author__ = "Alexander Metzner"

from pyassert import assert_that
from pyfix import test, before, after, run_tests

def before_interceptor():
    print "Starting test..."


def after_interceptor():
    print "Test stopped."


@test
@before(before_interceptor)
@after(after_interceptor)
def ensure_that_before_interceptor_is_executed():
    assert_that(_BEFORE_EXECUTED).is_true()


if __name__ == "__main__":
    run_tests()

You can register as many before/ after interceptors as you want using multiple decorators or passing more than one value to a decorator.

Release Notes

Version 0.2.3 released 2012-10-01

  • Added temporary directory fixture

Version 0.2.0 released 2012-09-26

  • Implemented before and after decorators
  • Test results contain a traceback in case of an exception

Version 0.1.3 released 2012-09-18

  • Implemented enumerating fixtures like enumerate

Version 0.1.2 released 2012-09-17

  • Renamed main to run_tests

Version 0.1.1 released 2012-09-14

  • Inital release

License

pyfix is published under the terms of the Apache License, Version 2.

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