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Mastering Flask Web and API Development

You're reading from   Mastering Flask Web and API Development Build and deploy production-ready Flask apps seamlessly across web, APIs, and mobile platforms

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781837633227
Length 494 pages
Edition 1st Edition
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Author (1):
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Sherwin John C. Tragura Sherwin John C. Tragura
Author Profile Icon Sherwin John C. Tragura
Sherwin John C. Tragura
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Learning the Flask 3.x Framework
2. Chapter 1: A Deep Dive into the Flask Framework FREE CHAPTER 3. Chapter 2: Adding Advanced Core Features 4. Chapter 3: Creating REST Web Services 5. Chapter 4: Utilizing Flask Extensions 6. Part 2:Building Advanced Flask 3.x Applications
7. Chapter 5: Building Asynchronous Transactions 8. Chapter 6: Developing Computational and Scientific Applications 9. Chapter 7: Using Non-Relational Data Storage 10. Chapter 8: Building Workflows with Flask 11. Chapter 9: Securing Flask Applications 12. Part 3:Testing, Deploying, and Building Enterprise-Grade Applications
13. Chapter 10: Creating Test Cases for Flask 14. Chapter 11: Deploying Flask Applications 15. Chapter 12: Integrating Flask with Other Tools and Frameworks 16. Index 17. Other Books You May Enjoy

Configuring the logging mechanism

Flask utilizes the standard logging modules of Python. The app instance has a built-in logger() method, which is pre-configured and can log views, repositories, services, and events. The only problem is that this default logger cannot perform info logging because the default severity level of the configuration is WARNING. By the way, turn off debug mode when running applications with a logger to avoid logging errors.

The Python logging mechanism has the following severity levels:

  • Debug: This level has a severity value of 10 and can provide traces of results during the debugging process.
  • Info: This level has a severity value of 20 and can provide general details about execution flows.
  • Warning: This level has a severity value of 30 and can inform about areas of the application that may cause problems in the future due to some changes in the platform or API classes.
  • Error: This level has a severity value of 40 and can track down...
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