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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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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

Adding logs while developing

Any test runner will capture logs and display it as part of the trace while running tests.

pytest, which we introduced in Chapter 10, Testing and TDD, will display logs as part of the result of a failing test.

This is a good opportunity to check that the expected logs are being generated while the feature is still in development phase, especially if it's done in a TDD process where the failing tests and errors are produced routinely as part of the process, as we saw in Chapter 10, Testing and TDD. Any test that checks an error should also add a corresponding log and, while developing the feature, check that they are being produced.

You can explicitly add to the test a check to validate that the log is being generated by using a tool like pytest-catchlog (https://pypi.org/project/pytest-catchlog/).

Typically, though, we just take a bit of care and incorporate the practice of checking while using TDD practices as...

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