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Mastering Flask

You're reading from   Mastering Flask Gain expertise in Flask to create dynamic and powerful web applications

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Product type Paperback
Published in Sep 2015
Publisher Packt
ISBN-13 9781784393656
Length 288 pages
Edition 1st Edition
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Author (1):
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Jack Stouffer Jack Stouffer
Author Profile Icon Jack Stouffer
Jack Stouffer
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Table of Contents (15) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Creating Models with SQLAlchemy 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 Index

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 in our unit tests. To add coverage reports to our project, install the coverage library with pip as follows:

$ 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 coverage for the files in the webapp directory. If that weren't included, the percentages for all the libraries used in the app would be included as well. By default, if any...

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