EXTasy is a BDD framework bult on top of PyCukes for ExtJS interfaces
Project description
EXTasy
=======
EXTasy is a Cucumber-like BDD tool for ExtJS developers. It is written in python and built on top of Pycukes.
Installation
=====
You can install it using Python's easy_install::
$ easy_install extasy
Or You can download source code and install using setup.py script::
$ python setup.py install
Usage
=====
First, make sure you have installed story_runner, pyhistorian, pycukes and extasy.
By default, if you just call ``extasy`` from your command line into some dir, it will look for a ``stories`` dir (expecting your stories files are there).
Each story file by convention ends with .story, like ``calculator.story``.
So, lets say you have the directory tree::
|-- calculator
|-- stories
|-- calculator.story
To run your stories, you can simple call::
$ extasy
Or if you can specify exactly what stories run::
$ extasy stories/calculator.story
Get in touch with the team
=====
If you have further questions, please contact the team:
snit-ram: http://github.com/snit-ram, http://twitter.com/snit_ram
=======
EXTasy is a Cucumber-like BDD tool for ExtJS developers. It is written in python and built on top of Pycukes.
Installation
=====
You can install it using Python's easy_install::
$ easy_install extasy
Or You can download source code and install using setup.py script::
$ python setup.py install
Usage
=====
First, make sure you have installed story_runner, pyhistorian, pycukes and extasy.
By default, if you just call ``extasy`` from your command line into some dir, it will look for a ``stories`` dir (expecting your stories files are there).
Each story file by convention ends with .story, like ``calculator.story``.
So, lets say you have the directory tree::
|-- calculator
|-- stories
|-- calculator.story
To run your stories, you can simple call::
$ extasy
Or if you can specify exactly what stories run::
$ extasy stories/calculator.story
Get in touch with the team
=====
If you have further questions, please contact the team:
snit-ram: http://github.com/snit-ram, http://twitter.com/snit_ram
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