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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture 2. Part I: Design FREE CHAPTER
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

Local debugging

Debugging locally means exposing and fixing a problem once we have a local reproduction.

The basic steps of debugging are reproducing the problem, knowing what the current, incorrect result is, and knowing what the correct result should be. With that information, we can start debugging.

A great way of creating the reproduction of the problem is with a test, if that's possible. As we saw in Chapter 10, Testing and TDD, this is the basis of TDD. Create a test that fails and then change the code to make it pass. This approach is very usable when fixing bugs.

Taking a step back, any debugging process follows the following process:

  1. You realize there's a problem
  2. You understand what the correct behavior should be
  3. You investigate and discover why the current system behaves incorrectly
  4. You fix the problem

Keeping this process in mind is also useful from a local debugging perspective, though at this point...

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