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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 FREE CHAPTER 2. Part I: Design
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

Testing event-driven systems

Event-driven systems are very flexible and, in certain situations, can be incredibly useful in detaching different elements. But this flexibility and detachment can make them difficult to test to ensure that everything works as expected.

In general, unit tests are the fastest tests to generate, but the detached nature of event-driven systems makes them not very useful to properly test the reception of events. Sure, the events can be simulated, and the general behavior of receiving an event can be tested. But the problem is: how can we ensure that the event has been properly generated? And at the right moment?

The only option is to use integration tests to check the behavior of the system. But these tests are more expensive to design and run.

There's always an endless debate about naming tests, what exactly a unit test is compared to an integration test, system test, acceptance test, and so on. To avoid getting into too deep a discussion...

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