Python自动化测试宝典:70个实战技巧

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《Python Testing Cookbook (第1版)》是一本由Greg L. Turnquist编写的英文专业书籍,专为Python开发者和程序员提供深入的测试指南。本书旨在通过70多个简单而高效的代码配方,帮助读者掌握如何利用强大的Python测试工具进行自动化测试,无论是对于初级还是高级用户,都能从中获益。 该书的核心内容涵盖了多个关键章节,如: 1. 使用Unittest开发基础测试:Unittest是Python的标准单元测试库,这里将教授如何设置和运行基本的单元测试,理解测试用例的编写和执行。 2. 通过Nose运行自动化测试套件:Nose是一个流行的测试框架扩展,作者会展示如何配置和优化测试套件的运行,提升测试效率。 3. 使用doctest创建可测试的文档:doctest模块允许在函数和类文档字符串中嵌入示例测试,展示了文档编写与测试之间的紧密联系。 4. 行为驱动开发(Behavior Driven Development, BDD)测试客户故事:作者会讲解如何运用BDD方法来设计和验证用户故事,确保测试覆盖业务需求。 5. 高级用户场景:通过Acceptance Testing(验收测试)验证高层次的系统功能,确保软件符合预期的用户界面和行为。 6. 与持续集成(CI)集成测试:讲解如何将自动化测试无缝融入CI流程,确保代码质量和快速反馈。 7. 测试覆盖率测量:讨论如何使用工具来度量代码覆盖率,以便评估测试的有效性和完整性。 8. 烟雾/负载测试:针对主要部分的性能测试,确保系统在高压力和大规模数据下的稳定性和性能。 9. 新老系统良好的测试习惯:提供实用建议,帮助开发者建立有效的测试策略,无论面对新项目还是维护现有代码库。 整个书籍结构清晰,每个章节都包括详细的步骤指导、常见问题解答以及与其他相关技术的链接,便于读者按需学习和实践。此外,版权信息表明,未经出版商Packt Publishing书面许可,书中内容不得复制或传播,且所有信息不保证完全准确,但作者和出版社已尽力确保信息的准确性。 《Python Testing Cookbook (第1版)》是一本理想的参考书籍,特别适合希望提升Python测试技能的开发人员,无论是初次接触自动化测试,还是希望深入了解其高级技巧的人士。
2011-08-30 上传
Python Testing Cookbook Paperback: 364 pages Publisher: Packt Publishing (May 17, 2011) Language: English ISBN-10: 1849514666 ISBN-13: 978-1849514668 Over 70 simple but incredibly effective recipes for taking control of automated testing using powerful Python testing tools Learn to write tests at every level using a variety of Python testing tools The first book to include detailed screenshots and recipes for using Jenkins continuous integration server (formerly known as Hudson) Explore innovative ways to introduce automated testing to legacy systems Written by Greg L. Turnquist – senior software engineer and author of Spring Python 1.1 Part of Packt’s Cookbook series: Each recipe is a carefully organized sequence of instructions to complete the task as efficiently as possible In Detail Are you looking at new ways to write better, more efficient tests? Are you struggling to add automated testing to your existing system? The Python unit testing framework, originally referred to as “PyUnit” and now known as unittest, is a framework that makes it easier for you to write automated test suites efficiently in Python. This book will show you exactly how to squeeze every ounce of value out of automated testing. The Python Testing Cookbook will empower you to write tests using lots of Python test tools, code samples, screenshots, and detailed explanations. By learning how and when to write tests at every level, you can vastly improve the quality of your code and your personal skill set. Packed with lots of test examples, this will become your go-to book for writing good tests. This practical cookbook covers lots of test styles including unit-level, test discovery, doctest, BDD, acceptance, smoke, and load testing. It will guide you to use popular Python tools effectively and discover how to write custom extensions. You will learn how to use popular continuous integration systems like Jenkins (formerly known as Hudson) and TeamCity to automatically test your code upon check in. This book explores Python’s built-in ability to run code found embedded in doc strings and also plugging in to popular web testing tools like Selenium. By the end of this book, you will be proficient in many test tactics and be ready to apply them to new applications as well as legacy ones. A practical guide, this cookbook will ensure you fully utilize Python testing tools to write tests efficiently. What you will learn from this book : Get started with the basics of writing automated unit tests and asserting results Use Nose to discover tests and build suites automatically Write Nose plugins that control what tests are discovered and how to produce test reports Add testable documentation to your code Filter out test noise, customize test reports, and tweak doctest’s to meet your needs Write testable stories using lots of tools including doctest, mocks, Lettuce, and Should DSL Get started with the basics of customer-oriented acceptance testing Test the web security of your application Configure Jenkins and TeamCity to run your test suite upon check-in Capture test coverage reports in lots of formats, and integrate with Jenkins and Nose Take the pulse of your system with a quick smoke test and overload your system to find its breaking points Add automated testing to an existing legacy system that isn’t test oriented Approach This cookbook is written as a collection of code recipes containing step-by-step directions on how to install or build different types of Python test tools to solve different problems. Each recipe contains explanations of how it works along with answers to common questions and cross references to other relevant recipes. The easy-to-understand recipe names make this a handy test reference book. Who this book is written for Python developers and programmers with a basic understanding of Python and Python testing will find this cookbook beneficial. It will build on that basic knowledge equipping you with the intermediate and advanced skills required to fully utilize the Python testing tools. Broken up into lots of small code recipes, you can read this book at your own pace, whatever your experience. No prior experience of automated testing is required.