- Python Testing Cookbook
- Table of Contents
- Python Testing Cookbook
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Using Unittest To Develop Basic Tests
- Introduction
- Asserting the basics
- Setting up and tearing down a test harness
- Running test cases from the command line with increased verbosity
- Running a subset of test case methods
- Chaining together a suite of tests
- Defining test suites inside the test module
- Retooling old test code to run inside unittest
- Breaking down obscure tests into simple ones
- Testing the edges
- Testing corner cases by iteration
- 2. Running Automated Test Suites with Nose
- 3. Creating Testable Documentation with doctest
- Introduction
- Documenting the basics
- Catching stack traces
- Running doctests from the command line
- Coding a test harness for doctest
- Filtering out test noise
- Printing out all your documentation including a status report
- Testing the edges
- Testing corner cases by iteration
- Getting nosy with doctest
- Updating the project-level script to run this chapter's doctests
- 4. Testing Customer Stories with Behavior Driven Development
- Introduction
- Naming tests that sound like sentences and stories
- Testing separate doctest documents
- Writing a testable story with doctest
- Writing a testable novel with doctest
- Writing a testable story with Voidspace Mock and nose
- Writing a testable story with mockito and nose
- Writing a testable story with Lettuce
- Using Should DSL to write succinct assertions with Lettuce
- Updating the project-level script to run this chapter's BDD tests
- 5. High Level Customer Scenarios with Acceptance Testing
- Introduction
- Installing Pyccuracy
- Testing the basics with Pyccuracy
- Using Pyccuracy to verify web app security
- Installing the Robot Framework
- Creating a data-driven test suite with Robot
- Writing a testable story with Robot
- Tagging Robot tests and running a subset
- Testing web basics with Robot
- Using Robot to verify web app security
- Creating a project-level script to verify this chapter's acceptance tests
- 6. Integrating Automated Tests with Continuous Integration
- Introduction
- Generating a continuous integration report for Jenkins using NoseXUnit
- Configuring Jenkins to run Python tests upon commit
- Configuring Jenkins to run Python tests when scheduled
- Generating a CI report for TeamCity using teamcity-nose
- Configuring TeamCity to run Python tests upon commit
- Configuring TeamCity to run Python tests when scheduled
- 7. Measuring your Success with Test Coverage
- Introduction
- Building a network management application
- Installing and running coverage on your test suite
- Generating an HTML report using coverage
- Generating an XML report using coverage
- Getting nosy with coverage
- Filtering out test noise from coverage
- Letting Jenkins get nosy with coverage
- Updating the project-level script to provide coverage reports
- 8. Smoke/Load Testing—Testing Major Parts
- Introduction
- Defining a subset of test cases using import statements
- Leaving out integration tests
- Targeting end-to-end scenarios
- Targeting the test server
- Coding a data simulator
- Recording and playing back live data in real time
- Recording and playing back live data as fast as possible
- Automating your management demo
- 9. Good Test Habits for New and Legacy Systems
- Introduction
- Something is better than nothing
- Coverage isn't everything
- Be willing to invest in test fixtures
- If you aren't convinced on the value of testing, your team won't be either
- Harvesting metrics
- Capturing a bug in an automated test
- Separating algorithms from concurrency
- Pause to refactor when test suite takes too long to run
- Cash in on your confidence
- Be willing to throw away an entire day of changes
- Instead of shooting for 100 percent coverage, try to have a steady growth
- Randomly breaking your app can lead to better code
- Index
-
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