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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

Advanced pytest

While we've described the basic functionalities for pytest, we barely scratched the surface in terms of the number of possibilities that it presents to help generate testing code.

Pytest is a big and comprehensive tool. It is worth learning how to use it. Here, we will only scratch the surface. Be sure to check the official documentation at https://docs.pytest.org/.

Without being exhaustive, we will see some useful possibilities of the tool.

Grouping tests

Sometimes it is useful to group tests together so they are related to specific things, like modules, or to run them in unison. The simplest way of grouping tests together is to join them into a single class.

For example, going back to the test examples before, we could structure tests into two classes, as we see in test_group_classes.py.

from tdd_example import parameter_tdd
class TestEdgesCases():
    def test_negative(self):
        assert parameter_tdd(-1) == 0
    def...
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