pyspecs is a testing framework that strives to achieve more readable specifications (tests) by leveraging some fancy syntactic sugar and auto-discovery of tests/specs. WARNING: version 2.0 introduces breaking changes if you've been using 1.0 or 1.1.
Installation is straightforward:
$ pip install pyspecs
or...
$ easy_install pyspecs
or...
$ git clone https://[email protected]/mdwhatcott/pyspecs.git
$ cd pyspecs
$ python setup.py
The main tool for verifying behavior is an assertion of some kind. The simplest assertion can be made by using the built-in assert statement:
assert 42 == 'The answer the life, the universe and everything'
For readability this project provides a more fluent method for making assertions:
# These imported names are all synonyms for the class that
# provides fluent assertions (Should). Use whichever provides
# the best readability. The general patter is:
# >>> the([value]).should.[condition_method]([comparison_args])
# or...
# >>> the([value]).should_NOT.[condition_method]([comparison_args]) # negated!
from pyspecs import the, this, that, it
this(42).should.equal(42) # this passes
this([1, 2, 3]).should.contain(2) # this also passes
the(list()).should.be_empty() # passes
it(1).should_NOT.be_greater_than(100) # passes
# raises AssertionError, caught by framework, logged as failure
that(200).should.be_less_than(0)
from pyspecs import given, when, then, and_, the
with given.two_operands:
a = 2
b = 3
with when.supplied_to_the_add_function:
total = a + b
with then.the_total_should_be_mathmatically_correct:
the(total).should.equal(5)
with and_.the_total_should_be_greater_than_either_operand:
the(total).should.be_greater_than(a)
the(total).should.be_greater_than(b)
with when.supplied_to_the_subtract_function:
difference = b - a
with then.the_difference_should_be_mathmatically_correct:
the(difference).should.equal(1)
# cleanup is just based on scope
del a, b, total, difference
Notice that the names of each step are supplied as dynamic attributes of the
given, when, then, and and_ step keywords. These user-created attributes
are used in the output (below). Here is a listing of words that can be
used as steps:
givenprovidedwhenthenand_sothereforehoweveras_well_as
These steps can be arranged in any order and hierarchy for compose a specification (spec). You can even create your own steps that suit your needs (see the source code for how that's done).
Beyond providing the python library which will be explained below, installation provides a command-line script into the environment, meant to be invoked from the root of your project. The script will execute all specs in .py files ending in 'test.py' or 'tests.py' or beginning with 'test'.
To run all tests once:
$ run_pyspecs.py
To begin an auto-test loop (runs all specs anytime a .py file is saved):
$ run_pyspecs.py -w
There are some complete examples of specs, code, and output in the examples folder.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent