Skip to main content

UNKNOWN

Project description

Introduction

Library to convert BDD features into Python unittest.TestCase classes. Run the tests with your favorite test runner, like pytest, unittest or nose. See the demo folder for an example.

Example

Let’s take a calculator as an example. Create a plain text file called calculator.feature containing the BDD-style feature description:

Feature: Basic math operations
 Test addition

Scenario: add
 Given the value 10
 When adding 7
 Then the result is 17

Scenario: add a negative value
 Given the value 19
 When adding -11
 Then the result is 8

This is the text you can discuss with the customer and agree on. Next write a backing file called test_calculator.py containing the code to run this feature:

import os
from bdd import Environment
from calculator import Calculator

env = Environment()
env.context.calculator = Calculator()

@env.given('the value {:d}')
def step(context, value):
    context.calculator.value = value

@env.when('adding {:d}')
def step(context, value):
    context.calculator.add(value)

@env.then('the result is {:d}')
def step(context, value):
    assert context.calculator.value == value

def rel(p):
    this_dir = os.path.dirname(os.path.abspath(__file__))
    return os.path.join(this_dir, p)

CalculatorTestCase = env.load_feature_as_testcase('calculator.feature')

Finally, write the actual production code to implement the calculator, in a file called calculator.py:

class Calculator:
    def __init__(self):
        self.value = 0

    def add(self, value):
        self.value += value

Now run the tests with, for example, pytest:

$ python -m pytest test_calculator.py -v
=========== test session starts ===========================
platform linux -- Python 3.5.1, pytest-2.9.1
collected 2 items

test_calculator.py::CalculatorTestCase::test_scenario_0 <- bdd.py PASSED
test_calculator.py::CalculatorTestCase::test_scenario_1 <- bdd.py PASSED

References

A really good python bdd library is behave.

Changelog

0.2

  • Add tag support

0.1 (Jun 2, 2016)

  • Initial release
https://travis-ci.org/windelbouwman/bdd.svg?branch=master https://codecov.io/gh/windelbouwman/bdd/branch/master/graph/badge.svg

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
bdd-0.2-py3-none-any.whl (3.5 kB) Copy SHA256 hash SHA256 Wheel 3.5 Jun 4, 2016
bdd-0.2.zip (4.6 kB) Copy SHA256 hash SHA256 Source None Jun 4, 2016

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page