Testing Python

Applying Unit Testing, TDD, BDD and Acceptance Testing

Häftad, Engelska, 2014

349 kr

Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Fundamental testing methodologies applied to the popular Python language Testing Python; Applying Unit Testing, TDD, BDD and Acceptance Testing is the most comprehensive book available on testing for one of the top software programming languages in the world. Python is a natural choice for new and experienced developers, and this hands-on resource is a much needed guide to enterprise-level testing development methodologies. The book will show you why Unit Testing and TDD can lead to cleaner, more flexible programs.Unit Testing and Test-Driven Development (TDD) are increasingly must-have skills for software developers, no matter what language they work in. In enterprise settings, it's critical for developers to ensure they always have working code, and that's what makes testing methodologies so attractive. This book will teach you the most widely used testing strategies and will introduce to you to still others, covering performance testing, continuous testing, and more. Learn Unit Testing and TDD—important development methodologies that lie at the heart of Agile developmentEnhance your ability to work with Python to develop powerful, flexible applications with clean codeDraw on the expertise of author David Sale, a leading UK developer and tech commentatorGet ahead of the crowd by mastering the underappreciated world of Python testingKnowledge of software testing in Python could set you apart from Python developers using outmoded methodologies. Python is a natural fit for TDD and Testing Python is a must-read text for anyone who wants to develop expertise in Python programming.

Produktinformation

Utgivningsdatum2014-09-12
Mått188 x 234 x 13 mm
Vikt413 g
FormatHäftad
SpråkEngelska
Antal sidor240
FörlagJohn Wiley & Sons Inc
ISBN9781118901229

Tillhör följande kategorier

Programmeringsböcker inom Data och IT

David Sale is currently a software developer for British Sky Broadcasting (BSkyB), where he works predominantly with Python and Java. He quickly began making his presence known in the Python Community, having written web articles on various Python topics. David has also given talks on Behaviour Driven Development and Agile Development at the EuroPython conference. He writes about technology for Nettuts+ and Tech.Pro.

Introduction 1 CHAPTER 1 A History of Testing 5You Do Test, Don’t You? 7Fundamentals and Best Practices 7Python Installation 8Linux 8Mac 8Windows 8Pip 9Virtualenv 9Source Control (SVN, Git) 10Interactive Development Environment (IDE) 11Summary 12CHAPTER 2 Writing Unit Tests 15What Is Unit Testing? 15What Should You Test? 17Writing Your First Unit Test 17Checking Values with the assertEquals Method 18Checking Exception Handling with assertRaises 20Following the PEP-8 Standard 22Unit Test Structure 23Additional Unit Test Examples 24Getting Clever with assertRaises 24Making Your Life Easier with setUp 25Useful Methods in Unit Testing 27assertEqual(x, y, msg=None) 27assertAlmostEqual(x, y, places=None, msg=None, delta=None) 27assertRaises(exception, method, arguments, msg=None) 28assertDictContainsSubset(expected, actual, msg=None) 28assertDictEqual(d1, d2, msg=None) 28assertTrue(expr, msg=None) 28assertFalse(expr, msg=None) 29assertGreater(a, b, msg=None) 29assertGreaterEqual(a, b, msg=None) 29assertIn(member, container, msg=None) 30assertIs(expr1, expr2) 30assertIsInstance(obj, class, msg=None) 30assertNotIsInstance(obj, class, msg=None) 30assertIsNone(obj, msg=None) 30assertIsNot(expr1, expr2, msg=None) 31assertIsNotNone(obj, msg=None) 31assertLess(a, b, msg=None) 31assertLessEqual(a, b, msg=None) 31assertItemsEqual(a, b, msg=None) 31assertRaises(excClass, callableObj, *args, **kwargs, msg=None) 32Summary 32CHAPTER 3 Utilizing Unit Test Tools 33Using Python’s Nose 33Installing Nose 34Using Nose’s Best Features 35Running Specifi c Test Files 35Getting More Detail with Verbose 35Debugging Support with PDB 36Checking Your Coverage 38Coloring your tests with Rednose 39PyTest: An Alternative Test Runner 40Installing PyTest 40PyTest’s Best Features 41Running Specifi c Tests 41Viewing Detail with Verbose and Summary 42Debugging with PDB 43Checking Your Coverage with PyTest 45Choosing Between Nose and PyTest 46Mock and Patch Tricky Situations 46Installing the Mock Library 47Mocking a Class and Method Response 47When Mock Won’t Do, Patch! 50The Requests Library 50Patch in Action 50Advanced Mocking 52Summary 53CHAPTER 4 Writing Testable Documentation 55Writing Your First Doctest 56Th e Python Shell 56Adding Doctests to a Method 57Running Your Doctests 58Handling Error Cases 59Advanced Doctest Usage 61Improving Doctests with Nose Integration 62Summary 65Resources 65CHAPTER 5 Driving Your Development with Tests 67Agile Development 67Adopting the Agile Process Now 68Ethos of Test Driven Development 70Advantages of Test Driven Development 72Ping-Pong Programming 72Test Driving Your Problem 73Writing Your Failing Test 74Making Your Test Pass 75Driving More Features with Tests 75Wrapping Up the Task 77Summary 82Resources 83CHAPTER 6 Writing Acceptance Tests 85What Is Acceptance Testing? 85Anatomy of an Acceptance Test 87Using Gherkin Syntax 87Th e Magic Is in the Step File 88Goals of Acceptance Testing 89Implementing Developer and QA Collaboration 90Letting Behavior Drive Your Problem 90Writing Your Failing Acceptance Test 90Defining Your Steps 92Implementing Your Code 94Developing More of the Feature 95bank_apppy 96indexhtml 97Delivering the Finished Article 98Advanced Acceptance Test Techniques 102Scenario Outline 102Tables of Data in Scenarios 103Summary 104Resources 105CHAPTER 7 Utilizing Acceptance Test Tools 107Cucumber: The Acceptance Test Standard 107Lettuce in Detail 108Tagging 108Fail Fast 112Nosetest Integration 114Robot: An Alternative Test Framework 115Installing Robot 116Writing a Test Case 116Implementing Keywords 117Running Robot Tests 119Summary 123Resources 123CHAPTER 8 Maximizing Your Code’s Performance 125Understanding the Importance of Performance Testing 126JMeter and Python 126Installation 127Configuring Your Test Plans 128Utilizing Your Test Plans Effectively 135Code Profiling with cProfile 135Run a cProfile Session 136Analyzing the cProfile Output 142Summary 144Resources 144CHAPTER 9 Looking After Your Lint 145Coming to Grips with Pylint 146Installing Pylint 146Using Pylint 146Understanding the Pylint Report 149The Module Block 149The Messages by Category Section 149The Messages Section 150The Code Evaluation Score 150The Raw Metrics Section 150The Statistics by Type Section 150Customizing Pylint’s Output 150Telling Pylint to Ignore Errors 153Covering All Your Code with Unit Tests 154Installing Coverage 155Using Coverage 155Advanced Coverage Options 157Producing an HTML/XML Report 157Setting a Minimum Coverage Threshold 159Restricting Coverage to a Specific Package 159Ignoring Coverage 160Summary 161Resources 162CHAPTER 10 Automating Your Processes 163Build Paver Tasks 164Installing Paver 164Creating a Paver Task 164Executing Paver Tasks 165Defi ning a Default Build 166Setting Up Automated Builds 168Installing Jenkins 169Adding Coverage and PyLint Reports 175Generating a PyLint Report 175Generating a Coverage Report 176Making Your Build Status Highly Visible 176Summary 181Resources 181CHAPTER 11 Deploying Your Application 183Deploying Your Application to Production 184Creating a Deployable Artifact 185Defining the Paver Tasks 185Incorporating Packaging into the Build 187Enabling Archiving on Jenkins 188QA Environment 189Implementing Stage and Production Environments 190Implementing a Cloud Deployment 191Creating a Heroku Account 192Creating a Small Application 193Setting up Git for Heroku 193Deploying the Application to Heroku 194Smoke Testing a Deployed Application 195Example Application Stack 196Smoke Test Scenarios 197Implementing Smoke Tests 198Summary 200Resources 201CHAPTER 12 The Future of Testing Python 203Stub the Solution 203Making Deployment Natural 205Automating (Nearly) Everything 206Working in Public 207Collaborating on Step Definitions 208Final Thoughts 209Resources 210Index 211