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pytest-fauxfactory 1.1.1

Integration of fauxfactory into pytest.

pytest-fauxfactory
==================

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:target: https://pypi.python.org/pypi/pytest-fauxfactory

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:target: https://pypi.python.org/pypi/pytest-fauxfactory

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:target: https://pypi.python.org/pypi/pytest-fauxfactory

.. image:: https://travis-ci.org/omaciel/pytest-fauxfactory.svg?branch=master
:target: https://travis-ci.org/omaciel/pytest-fauxfactory

---------------

**pytest-fauxfactory** is a **Pytest** plugin that helps you pass random data to your automated tests, leveraging the
power of `FauxFactory https://github.com/omaciel/fauxfactory`.

Features
--------

pytest-fauxfactory let's you create parameterized automated tests, providing:

- Randomically generated strings via **FauxFactory**
- Allowing you to provide a `callable` method to return the type and number of data items to be used by your tests
- Allowing you to provide a `generator` method to return the type and number of data items to be used by your tests

Installation
------------


::

$ pip install pytest-fauxfactory


Usage Examples
--------------


Generating Random Strings: faux_string
++++++++++++++++++++++++++++++++++++++
Let's say you need to generate a random string value (identified as **author**) for a test

.. code-block:: python

@pytest.mark.faux_string()
def test_generate_alpha_strings(author):
assert author

The allowed types of strings that can be generated are:

- alpha
- alphanumeric
- cjk
- html
- latin1
- numeric
- utf8
- punctuation

Using the `faux_string` mark without any arguments will generate a single random string for your test.

::

test_generate_alpha_strings[faux_string_0] PASSED


Suppose you want to generate **4** random **alpha** strings (identified as **book**) for a test:

.. code-block:: python

@pytest.mark.faux_string(4, 'alpha')
def test_generate_alpha_strings(book):
assert book.isalpha()


You will then have 4 tests, each with different values:

::

test_generate_alpha_strings[faux_string_0] PASSED
test_generate_alpha_strings[faux_string_1] PASSED
test_generate_alpha_strings[faux_string_2] PASSED
test_generate_alpha_strings[faux_string_3] PASSED

Now, suppose you also want to make sure that all strings have exactly 43 characters:

.. code-block:: python

@pytest.mark.faux_string(4, 'alpha', length=43)
def test_generate_alpha_strings(value):
assert len(value) == 43

Additionally, you can run tests with different string lengths by passing in a list of lengths:

.. code-block:: python

@pytest.mark.faux_string(4, 'alpha', length=[5, 15])
def test_gen_alpha_string_with_variable_length(value):
"""Generate an `alpha` string of length of either 5 or 15."""
assert len(value) == 5 or len(value) == 15

This will generate 4 new tests

::

tests/test_faux_string.py::test_gen_alpha_string_with_variable_length[faux_string_0] PASSED [ 91%]
tests/test_faux_string.py::test_gen_alpha_string_with_variable_length[faux_string_1] PASSED [ 92%]
tests/test_faux_string.py::test_gen_alpha_string_with_variable_length[faux_string_2] PASSED [ 93%]
tests/test_faux_string.py::test_gen_alpha_string_with_variable_length[faux_string_3] PASSED

Similarly, you can run tests with different string types by passing in a list of types:

.. code-block:: python

@pytest.mark.faux_string(4, ['alpha', 'alphanumeric'], length=[5, 10])
def test_gen_alpha_string_with_variable_types(value):
"""Generate alpha strings with length 5, alphanumeric with length 10."""
if len(value) == 5:
assert not contains_number(value)
else:
assert contains_number(value)

This will generate 4 new tests

::

tests/test_faux_string.py::test_gen_alpha_string_with_variable_types[faux_string_0] PASSED [ 96%]
tests/test_faux_string.py::test_gen_alpha_string_with_variable_types[faux_string_1] PASSED [ 97%]
tests/test_faux_string.py::test_gen_alpha_string_with_variable_types[faux_string_2] PASSED [ 98%]
tests/test_faux_string.py::test_gen_alpha_string_with_variable_types[faux_string_3] PASSED


Using Custom Functions: faux_callable
+++++++++++++++++++++++++++++++++++++
Now imagine that you have a custom function that generates values of any type instead of the default types used by
`faux_string`. Using `fauxfactory.gen_integer` for example:

.. code-block:: python

import fauxfactory
import pytest

@pytest.mark.faux_callable(4, fauxfactory.gen_integer)
def test_callable_generate_integers(value):
"""Test function that return generated integer"""
assert isinstance(value, int)


This will generate 4 new tests

::

tests/test_pytest_fauxfactory.py::test_generate_integers[faux_callable_0] PASSED
tests/test_pytest_fauxfactory.py::test_generate_integers[faux_callable_1] PASSED
tests/test_pytest_fauxfactory.py::test_generate_integers[faux_callable_2] PASSED
tests/test_pytest_fauxfactory.py::test_generate_integers[faux_callable_3] PASSED


faux_callable can also transfer arguments to the callable function:

.. code-block:: python

import fauxfactory
import pytest

@pytest.mark.faux_callable(4, fauxfactory.gen_integer, min_value=0,
max_value=100)
def test_callable_generate_integers(value):
"""Test function that return generated integer with kwargs"""
assert isinstance(value, int)
assert 0 <= value <= 100

This will generate 4 new tests

::

tests/test_pytest_fauxfactory.py::test_generate_integers[faux_callable_0] PASSED
tests/test_pytest_fauxfactory.py::test_generate_integers[faux_callable_1] PASSED
tests/test_pytest_fauxfactory.py::test_generate_integers[faux_callable_2] PASSED
tests/test_pytest_fauxfactory.py::test_generate_integers[faux_callable_3] PASSED


Of course the generated values can be of any type! For example, let's generate values as a tuple of alpha strings:

.. code-block:: python

import fauxfactory
import pytest

def generate_alpha_strings(number=1, length=10):
"""function that return a tuple of generated alpha string"""
return tuple(fauxfactory.gen_alpha(length=length) for _ in range(number))

@pytest.mark.faux_callable(5, generate_alpha_strings, number=3, length=12)
def test_callable_generate_from_custom_function(value):
"""Test generic function that return a tuple of generated strings"""
assert isinstance(value, tuple)
assert len(value) == 3
# unpack
location, organization, cv = value
for str_alpha in (location, organization, cv):
assert len(str_alpha) == 12
assert location != organization
assert location != cv

This will generate 5 new tests

::

tests/test_pytest_fauxfactory.py::test_generate_from_custom_function[faux_callable_0] PASSED
tests/test_pytest_fauxfactory.py::test_generate_from_custom_function[faux_callable_1] PASSED
tests/test_pytest_fauxfactory.py::test_generate_from_custom_function[faux_callable_2] PASSED
tests/test_pytest_fauxfactory.py::test_generate_from_custom_function[faux_callable_3] PASSED
tests/test_pytest_fauxfactory.py::test_generate_from_custom_function[faux_callable_4] PASSED


Let's now generate values from a custom function that returns a dictionary:

.. code-block:: python

import fauxfactory
import pytest

def generate_person():
"""Generate a random person record."""
return {
'name': fauxfactory.gen_alpha(length=12),
'age': fauxfactory.gen_integer(min_value=12, max_value=100)
}

@pytest.mark.faux_callable(3, generate_person)
def test_callable_generate_person(value):
"""Test generic function that return a dict"""
assert isinstance(value, dict)
assert 'name' in value
assert 'age' in value
assert len(value['name']) == 12
assert 12 <= value['age'] <= 100

This will generate 5 new tests

::

tests/test_pytest_fauxfactory.py::test_generate_person[faux_callable_0] PASSED
tests/test_pytest_fauxfactory.py::test_generate_person[faux_callable_1] PASSED
tests/test_pytest_fauxfactory.py::test_generate_person[faux_callable_2] PASSED


Using Generators: faux_generator
++++++++++++++++++++++++++++++++
Now instead of using a callable function, we want to generate tests with values
of any types from a generator function or generator expression.
For this purpose we can use the "faux_generator" mark:


.. code-block:: python

def alpha_strings_generator(items=1, length=10):
"""Generate alpha string value at each iteration."""
for _ in range(items):
yield fauxfactory.gen_alpha(length=length)


@pytest.mark.faux_generator(alpha_strings_generator(items=3, length=12))
def test_generator_alpha_strings(value):
"""Test function generator with kwargs."""
assert len(value) == 12

This will generate 3 new tests

::

tests/test_pytest_fauxfactory.py::test_generator_alpha_strings[faux_generator_0] PASSED
tests/test_pytest_fauxfactory.py::test_generator_alpha_strings[faux_generator_1] PASSED
tests/test_pytest_fauxfactory.py::test_generator_alpha_strings[faux_generator_2] PASSED

We can also use a generator expression:

.. code-block:: python

list_of_integers = [fauxfactory.gen_integer(min_value=0) for _ in range(4)]


@pytest.mark.faux_generator(int_val for int_val in list_of_integers)
def test_generator_expression(value):
"""Test generator expression."""
assert isinstance(value, int)
assert value >= 0

This will generate 4 tests

::

tests/test_pytest_fauxfactory.py::test_generator_expression[faux_generator_0] PASSED
tests/test_pytest_fauxfactory.py::test_generator_expression[faux_generator_1] PASSED
tests/test_pytest_fauxfactory.py::test_generator_expression[faux_generator_2] PASSED
tests/test_pytest_fauxfactory.py::test_generator_expression[faux_generator_3] PASSED


Of course the returned values can be of any type:


.. code-block:: python

def foo_generator():
"""Returns different values: first, a string 'foo'; second iteration, a
list of integers."""
yield 'foo'
yield [1, 2, 3]


@pytest.mark.faux_generator(foo_generator())
def test_generator_foo_generator(value):
"""Test diffrent type values."""
if isinstance(value, list):
assert value == [1, 2, 3]
else:
assert value == 'foo'


This will generate 2 tests

::

tests/test_pytest_fauxfactory.py::test_generator_foo_generator[faux_generator_0] PASSED
tests/test_pytest_fauxfactory.py::test_generator_foo_generator[faux_generator_1] PASSED

We can also combine all the above generators:

.. code-block:: python

@pytest.mark.faux_generator(
alpha_strings_generator(items=3, length=12),
(int_val for int_val in list_of_integers),
foo_generator()
)
def test_generator_combined(value):
"""Test combined generators."""
if isinstance(value, list):
assert value == [1, 2, 3]
elif isinstance(value, int):
assert value >= 0
else:
assert value.isalpha()

This will generate 9 tests

::

tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_0] PASSED
tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_1] PASSED
tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_2] PASSED
tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_3] PASSED
tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_4] PASSED
tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_5] PASSED
tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_6] PASSED
tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_7] PASSED
tests/test_pytest_fauxfactory.py::test_generator_combined[faux_generator_8] PASSED


Documentation
-------------

Documentation is in the works but we would love to get help from the community!

Authors
=======

pytest-fauxfactory is written and maintained by Og Maciel and various
contributors.

Development Lead
----------------

- Og Maciel `@omaciel <https: github.com="" omaciel=""/>`_

Contributors
------------

- Djebran Lezzoum `@ldjebran https://github.com/ldjebran`_
- Jacob Callahan `@JacobCallahan https://github.com/JacobCallahan`_
- Milan Falešník `@mfalesni https://github.com/mfalesni`_


.. :changelog:

Release History
===============

1.1.0 (2017-12-06)
------------------

- Renamed `gen_string` mark to `faux_string` with extended capabilities
- Added new `faux_callable` and `faux_generator` marks
- Updated README file to include usable examples

1.0.1 (2017-10-18)
------------------

- First release as a Pytest plugin exposing a `gen_string` mark
- Tests can be decorated with new mark to generate random strings as parameters

1.0.0 (2015-05-20)
------------------

- First release.


 
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