Python Unit Test Automation: Automate, Organize, and Execute Unit Tests in Python

Table of Contents
About the Author
About the Technical Reviewers
Acknowledgments
Introduction
	Why This Book?
	Who This Book Is For
	How This Book Is Organized
	How to Get the Most Out of This Book
	Where Next?
		A Quick Word About the Instructors’ Fraternity
Chapter 1: Introduction to Python
	The History of Python
	Features of Python
		Simple
		Easy to Learn
		Easy to Read
		Easy to Maintain
		Open Source
		High-Level Language
		Portable
		Interpreted
		Object-Oriented
		Extensible
		Extensive Libraries
		Robust
		Rapid Prototyping
		Memory Management
		Powerful
		Community Support
	Python 3
		Differences Between Python 2 and Python 3
		Why Use Python 3
	Installing Python 3
		Installation on Linux
		Installation on Debian, Ubuntu, and Derivatives
		Installation on Fedora and CentOS
		Installation on macOS X
		Installation on Windows
	Running a Python Program and Python Modes
		Interactive Mode
		Script Mode
	IDEs for Python
		IDLE
		The PyDev Plugin for Eclipse
		Geany
		PyCharm
	Conclusion
Chapter 2: Getting Started
	A Brief Introduction to Software Testing Concepts
		Unit Testing
		Test Automation
		The Benefits of Automated Unit Testing
	Using Docstrings
		Example of a Docstring in Python
	A Brief Introduction to doctest
		Failing Tests
			Separate Test File
			Advantages and Disadvantages of doctest
			Pydoc
	Conclusion
Chapter 3: unittest
	Introduction to xUnit
	Using unittest
		Order of Execution of the Test Methods
			Verbosity Control
			Multiple Test Classes Within the Same Test File/Module
			Test Fixtures
			Running Without unittest.main( )
			Controlling the Granularity of Test Execution
			Listing All the Command-Line Options and Help
			Important Command-Line Options
			Creating a Test Package
			Organizing the Code
			Placing the Development and Test Code in a Single Directory
			Placing the Development and Test Code in Separate Directories
	Test Discovery
	Coding Conventions for unittest
	Assertions in unittest
		Other Useful Methods
	Failing a Test
		Exceptions in Test Cases
			assertRaises( )
		Creating Test Suites
		Creating Test Suites
	Conclusion
Chapter 4: nose and nose2
	Introduction to nose
		Installing nose on Linux Distributions
		Installing nose on macOS and Windows
		Verifying the Installation
		Getting Started with nose
		A Simple nose Test Case
		Running the Test Module with nosetests
		Getting Help
		Organizing the Test Code
		Test Discovery
	Fixtures for Classes, Modules, and Methods
		Fixtures for Functions
			Fixtures for Packages
			Alternate Names of the nose Fixtures
			assert_equals( )
	Testing Tools
		ok_ and eq_
		The @raises() Decorator
		The @timed() decorator
	Report Generation
		Creating an XML Report
		Creating an HTML Report
		Creating Color Output in the Console
	Running unittest Tests from nose
	Running doctest Tests from nose
	Advantages of nose over unittest
	Disadvantages of nose
	Using nose2
	Conclusion
Chapter 5: pytest
	Introduction to pytest
		Simple Test
		Running Tests with the py.test Command
		Test Class and Test Package in pytest
		Test Discovery in pytest
		xUnit-Style Fixtures
		pytest Support for unittest and nose
	Introduction to pytest Fixtures
		Scope of pytest Fixtures
			pytest.raises( )
	Important pytest Command-Line Options
		Help
		Stopping After the First (or N) Failures
		Profiling Test Execution Duration
		JUnit-Style Logs
	Conclusion
Chapter 6: Testing with Selenium
	Introduction to Selenium
	Selenium IDE
	Selenium Webdriver
	Selenium with Unittest
	Conclusion
Chapter 7: Logging in Python
	Logging Basics
	Logging with an OS
	Manually Logging with File Operations
	Logging in Python
		Logging to a File
		Customizing the Log Message
		Customizing Logging Operations
		Rotating a Log File
		Using Multiple Loggers
		Logging with Threads
		Multiple Loggers Writing to the Same Target
	Logging with loguru
		Using loguru and the Available Logging Levels
		Customizing File Retention
		Customizing Tracing
		Customizing the Log Message Format and Display
		Configuring with a Dictionary
	Conclusion
Chapter 8: Tips and Tricks
	Coding and Filenaming Conventions for Easier Test Discovery
	Test-Driven Development with pytest
	Conclusion
Index