Packt Publishing Python Testing Cookbook (2011).pdf

About the Author

Greg L. Turnquist has worked in the software industry since 1997. He is an active

participant in the open source community, and has contributed patches to several projects

including MythTV, Spring Security, MediaWiki, and the TestNG Eclipse plugin. As a test-bitten

script junky, he has always sought the right tool for the job. He is a irm believer in agile

practices and automated testing. He has developed distributed systems, LAMP-based setups,

and supported mission-critical systems hosted on various platforms.

After graduating from Auburn University with a Master's in Computer Engineering, Greg

started working with Harris Corporation. He worked on many contracts utilizing many types

of technology. In 2006, he created the Spring Python project and went on to write Spring

Python 1.1 in 2010. He joined SpringSource, a division of VMware in 2010, as part of their

international software development team.

I would like to extend my thanks to Sylvain Hellegouarch, Matt Closson, as

well as my editors, for taking the time to technically review this book and

provide valuable feedback. I thank my one-year-old daughter for pulling me

away when I needed a break and my one-month-old son for giving me MANY

opportunities in the middle of the night to work on this book. I especially

thank my precious wife Sara for the support, encouragement, patience, and

most importantly for saying "I think we should strike while the iron is hot"

when I was offered this writing opportunity.

About the Reviewers

Matthew Closson is a creative technologist and entrepreneur at heart. He is currently

employed as a software engineer by Philips Healthcare. He is passionate about software

testing, systems integration, and web technologies. When not obsessing over Ruby and C#

code, this elusive developer is likely to be found reading at the local bookstore or relaxing on

the beach.

Chetan Giridhar has more than ive years experience of working in the software services

industry, product companies, and research organizations. He has a string background of

C/C++, Java (certiied Java professional) and has a good command of Perl, Python scripting

languages, using which he has developed useful tools and automation frameworks. His

articles on Code Reviews, Software Automation, and Agile methodologies have been

published in international magazines including TestingExperience and AgileRecord for which

he has received appreciation from other industry experts on his website—TechnoBeans.

Chetan has also co-authored a book on Design Patterns in Python that is listed at Python's

Oficial Website. He has given lectures on Python Programming to software professionals

and at educational institutes including the Indian Institute of Astrophysics, Bangalore. Chetan

holds a B.E. in Electrical Engineering from the University of Mumbai and feels that the world is

full of knowledge.

I take this opportunity to thank Rahul Verma, who has guided and inspired

me, Ashok Mallya and Rishi Ranjan, for their encouragement and for the

conidence they have shown in me. Special thanks to my parents Jayant and

Jyotsana Giridhar, and my wife Deepti, who have all been a constant support.

Table of Contents

Preface

Chapter 1: Using Unittest To Develop Basic Tests

Introduction

Asserting the basics

Setting up and tearing down a test harness

Running test cases from the command line with increased verbosity

Running a subset of test case methods

Chaining together a suite of tests

Deining test suites inside the test module

Retooling old test code to run inside unittest

Breaking down obscure tests into simple ones

Testing the edges

Testing corner cases by iteration

Chapter 2: Running Automated Test Suites with Nose

Introduction

Getting nosy with testing

Embedding nose inside Python

Writing a nose extension to pick tests based on regular expressions

Writing a nose extension to generate a CSV report

Writing a project-level script that lets you run different test suites

Chapter 3: Creating Testable Documentation with doctest

Introduction

Documenting the basics

Catching stack traces

Running doctests from the command line

Coding a test harness for doctest

Filtering out test noise

Table of Contents

Printing out all your documentation including a status report

Testing the edges

101

Testing corner cases by iteration

104

Getting nosy with doctest

107

Updating the project-level script to run this chapter's doctests

110

Chapter 4: Testing Customer Stories with Behavior

Driven Development 117

Introduction 117

Naming tests that sound like sentences and stories 120

Testing separate doctest documents 126

Writing a testable story with doctest 130

Writing a testable novel with doctest 136

Writing a testable story with Voidspace 142

Mock and nose 142

Writing a testable story with mockito and nose 147

Writing a testable story with Lettuce 150

Using Should DSL to write succinct assertions with Lettuce 158

Updating the project-level script to run this chapter's BDD tests 163

Chapter 5: High Level Customer Scenarios with Acceptance Testing 169

Introduction 170

Installing Pyccuracy 172

Testing the basics with Pyccuracy 176

Using Pyccuracy to verify web app security 179

Installing the Robot Framework 183

Creating a data-driven test suite with Robot 186

Writing a testable story with Robot 191

Tagging Robot tests and running a subset 197

Testing web basics with Robot 204

Using Robot to verify web app security 208

Creating a project-level script to verify this chapter's acceptance tests 212

Chapter 6: Integrating Automated Tests with Continuous Integration 217

Introduction 217

Generating a continuous integration report for Jenkins using NoseXUnit 220

Coniguring Jenkins to run Python tests upon commit

222

Coniguring Jenkins to run Python tests when scheduled

227

Generating a CI report for TeamCity using teamcity-nose

231

Coniguring TeamCity to run Python tests upon commit

234

Coniguring TeamCity to run Python tests when scheduled

237

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