Python Testing Cookbook, by Greg L Turnquist (@gregturn), goes far beyond Unit Testing, but overall it's a mixed bag. Here's a breakdown for each chapter (disclaimer: I received a free eBook from Packt for review):
- Basic introduction to testing with unittest, which is great if you're just starting with Python and testing.
- Good coverage of nose. I was pleasantly surprised at how easy it is to write nose plugins.
- Deep coverage of using doctest and writing testable docstrings. You can download a free PDF of Chapter 3 here.
- BDD with a cool nose plugin, and how to use mock or mockito for testing with mock objects. I wish the author had expressed an opinion in favor of either mock or mockito, but he didn't, so I will: use Fudge. Chapter 4 also covers the Lettuce DSL, which I think is pretty neat, but since every step requires writing a function handler, I'm not convinced it's actually easier or better than writing doctests or unit tests.
- Acceptance testing with Pyccuracy and Robot Framework, which both give you a way to use Selenium from Python. I thought the DSLs used seemed too "magic", but I that's probably because I didn't know the command words, and they weren't highlighted or adequately explained.
- How to install and use Jenkins and TeamCity, and how to display XML reports produced using NoseXUnit. This is a very useful chapter for anyone thinking about or setting up continuous integration.
- This chapter is supposed to be about test coverage, and does introduce coverage, but the examples get needlessly complicated. Previous chapters used a simple shopping cart example, but this chapter uses network events, which really distracts from the tests. The author also writes unittests that just print the results intead of actually testing results with assertions.
- More network event complexity while trying to demonstrate smoke testing and load testing. This chapter would have made a lot more sense in a book about network programming and how to test network events. Pyro is used with very little explanation, and MySQL and SQLlite are brought in too, increasing the complexity even more.
- This chapter is filled with useful advice, but there's no actual code examples. Instead, the advice is shoehorned into the cookbook format, which I felt detracted from the otherwise great content.
Throughout the book, the author presents a kind of "main script" that he updates at the end of many of the chapters. However, the script also contains stub functions that are never touched and barely explained, making their existance completely unnecessary. There's also far too many
import *, which can make it difficult to understand the code. But I did learn enough new things that I think Python Testing Cookbook is worth buying and reading. Leaving out Chapters 7 and 8, I think the book is a great resource if you're just getting started with testing, you want to do continuous integration, and/or you want to get non-programmers involved in the testing process. There's also a blog about the book, which has links to other reviews.