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  • Book Overview & Buying Test Driven Python Development
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Test Driven Python Development

Test Driven Python Development

By : Siddharta Govindaraj
4.4 (5)
Buy this Book
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Test Driven Python Development

Test Driven Python Development

4.4 (5)
By: Siddharta Govindaraj
Buy this Book

Overview of this book

This book starts with a look at the test-driven development process, and how it is different from the traditional way of writing code. All the concepts are presented in the context of a real application that is developed in a step-by-step manner over the course of the book. While exploring the common types of smelly code, we will go back into our example project and clean up the smells that we find. Additionally, we will use mocking to implement the parts of our example project that depend on other systems. Towards the end of the book, we'll take a look at the most common patterns and anti-patterns associated with test-driven development, including integration of test results into the development process.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Getting Started with Test-Driven Development
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1. Getting Started with Test-Driven Development
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Prerequisites
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Understanding test-driven development
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Using TDD to build a stock alert application
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Reorganizing the test code
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Summary
2
2. Red-Green-Refactor – The TDD Cycle
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2. Red-Green-Refactor – The TDD Cycle
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Tests are executable requirements
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Arrange-Act-Assert
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Documenting our tests
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Testing for exceptions
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Exploring assert methods
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Specific asserts versus generic asserts
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Setup and teardown
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Brittle tests
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Refactoring the design
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Refactoring tests
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Exploring the Rule classes
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Exercise
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Summary
3
3. Code Smells and Refactoring
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3. Code Smells and Refactoring
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A dual crossover moving average
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Implementing the dual crossover moving average
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Identifying code smells
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Refactoring
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The importance of tests
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Exercise
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Wrapping up
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Summary
4
4. Using Mock Objects to Test Interactions
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4. Using Mock Objects to Test Interactions
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Hand writing a simple mock
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Using the Python mocking framework
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Tying it all together
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Summary
5
5. Working with Legacy Code
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5. Working with Legacy Code
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What is legacy code?
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Understanding the code
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Techniques to break dependencies
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The cycle continues
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Time to refactor
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Summary
6
6. Maintaining Your Test Suite
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6. Maintaining Your Test Suite
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Goals of test maintenance
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Organizing tests
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Making tests readable
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Writing tests closer to the domain
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Summary
7
7. Executable Documentation with doctest
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7. Executable Documentation with doctest
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Our first doctest
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Test failures
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Testing for exceptions
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Package-level doctests
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Maintaining doctests
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Limitations of doctest
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How do doctests fit into the TDD process?
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Summary
8
8. Extending unittest with nose2
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8. Extending unittest with nose2
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Getting started with nose2
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Writing tests for nose2
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nose2 plugins
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Summary
9
9. Unit Testing Patterns
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9. Unit Testing Patterns
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Pattern – fast tests
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Pattern – running a subset of tests
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Pattern – using attributes
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Pattern – expected failures
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Pattern – data-driven tests
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Pattern – integration and system tests
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Pattern – spies
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Summary
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10. Tools to Improve Test-Driven Development
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10. Tools to Improve Test-Driven Development
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TDD tools
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Integrating with build tools
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Integrating with packaging tools
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Distutils
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Integrating with continuous integration tools
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Other tools
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IDE integration
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Summary
11
A. Answers to Exercises
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A. Answers to Exercises
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Red-Green-Refactor – The TDD Cycle
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Code Smells and Refactoring
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B. Working with Older Python Versions
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B. Working with Older Python Versions
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Writing code that is compatible across versions
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Running tests from the command line
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Running the examples in this book
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Index
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Index

Understanding the code

The following is the code that we are going to be looking at in this chapter:

from datetime import datetime

from .stock import Stock
from .rule import PriceRule

class AlertProcessor:
    def __init__(self):
        self.exchange = {"GOOG": Stock("GOOG"), "AAPL": Stock("AAPL")}
        rule_1 = PriceRule("GOOG", lambda stock: stock.price > 10)
        rule_2 = PriceRule("AAPL", lambda stock: stock.price > 5)
        self.exchange["GOOG"].updated.connect(
            lambda stock: print(stock.symbol, stock.price) \
                if rule_1.matches(self.exchange) else None)
        self.exchange["AAPL"].updated.connect(
            lambda stock: print(stock.symbol, stock.price) \
                if rule_2.matches(self.exchange) else None)

        updates = []
        with open("updates.csv", "r") as fp:
            for line in fp.readlines():
                symbol...
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Tech Concepts
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Programming languages
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Test Driven Python Development
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