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Mastering Flask Web Development

You're reading from   Mastering Flask Web Development Build enterprise-grade, scalable Python web applications

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995405
Length 332 pages
Edition 2nd Edition
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Authors (2):
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Jack Stouffer Jack Stouffer
Author Profile Icon Jack Stouffer
Jack Stouffer
Daniel Gaspar Daniel Gaspar
Author Profile Icon Daniel Gaspar
Daniel Gaspar
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Table of Contents (15) Chapters Close

Preface 1. Getting Started 2. Creating Models with SQLAlchemy FREE CHAPTER 3. Creating Views with Templates 4. Creating Controllers with Blueprints 5. Advanced Application Structure 6. Securing Your App 7. Using NoSQL with Flask 8. Building RESTful APIs 9. Creating Asynchronous Tasks with Celery 10. Useful Flask Extensions 11. Building Your Own Extension 12. Testing Flask Apps 13. Deploying Flask Apps 14. Other Books You May Enjoy

Test coverage

Now that our tests have been written, we have to know whether our code is sufficiently tested. The concept of test coverage, also known as code coverage, was invented to solve this issue. In any project, the test coverage represents what percentage of the code in the project was executed when the tests were run, and which lines were never run. This gives an idea of what parts of the project aren't being tested by our unit tests. To add coverage reports to our project, install the coverage library with pip, and make sure it's included in the requirements.txt:

    (venv)$ pip install coverage

The coverage library can be run as a command-line program that will run your test suite, and take its measurements while the tests are running:

    $ coverage run --source webapp --branch -m unittest discover

The --source flag tells coverage to only report on the test...

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