robotframework-faker 2.0.3

Robot Framework wrapper for faker, a fake test data generator

robotframework-faker
====================

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Robot Framework keyword library wrapper for
`Faker <https://github.com/joke2k/faker>`__.

This module allows easy use of Faker's random test data generation in
Robot Framework. I hate using static test data, because inevitably the
system under test evolves to pass the tests without necessarily solving
the root cause of bugs.

Any docstrings Faker provides are passed through to Robot Framework, so
they're available in RIDE and in keyword documentation generated via
libdoc.

For more information on Robot Framework please visit `the Robot
Framework homepage! <http://robotframework.org/>`__

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

``pip install robotframework-faker``

Usage
-----

`FakerLibrary keyword
documentation <https://guykisel.github.io/robotframework-faker/>`__

::

*** Settings ***
Library FakerLibrary

*** Test Cases ***
FakerLibrary Words Generation
${words}= FakerLibrary.Words
Log words: ${words}
${words}= FakerLibrary.Words nb=${10}
Log words: ${words}

You can also specify seeds and providers:

::

*** Settings ***
Library FakerLibrary locale=de_DE seed=124

See FakerLibrary's tests for more usage examples.

Contribute
----------

If you like this module, please contribute! I welcome patches,
documentation, issues, ideas, and so on.




Changelog for robotframework-faker
===========================

2.0.3 (2014-10-09)
------------------

- Fixed example in README.
- Add changelog to PyPI long_description.


2.0.2 (2014-10-09)
------------------

- Hotfix: Fix README.rst for PyPI compatibility.


2.0.1 (2014-10-09)
------------------

- Hotfix: Deleted invalid classifier.


2.0.0 (2014-10-09)
------------------

- Removed autocasting of input variables. This change is backwards
incompatible! Going forward, to input non-string data types to FakerLibrary
keywords, you must format them using RF's syntax for those data types.
For example, the integer 3 would be ${3}.
- Began using zest.releaser for automated packaging and releasing.
- Added pre-commit configuration to ensure PEP-8 compliance.
- Switched README to restructuredtext to improve rendering on PyPI.