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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

Different levels of testing

As we described before, tests should cover different elements of the system. This means that a test can address a small or big part of the system (or the whole system), trying to reduce its range of action.

When testing a small part of the system, we reduce the complexity of the test and scope. We need to call only that small part of the system, and the setup is easier to start with. In general, the smaller the element to test, the faster and easier it is to test it.

We will define three different levels or kinds of tests, from small to big scopes:

  • Unit tests, for tests that check only part of a service
  • Integration tests, for tests that check a single service as a whole
  • System tests, for tests that check multiple services working together

Names can actually vary quite a lot. In this book, we won't be very strict with definitions, instead defining soft limits and suggesting finding a balance that works for your...

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