Название: Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices, First Edition
Автор: Harry Percival, Bob Gregory
Издательство: O'Reilly Media
Год: 2020
Страниц: 292
Язык: английский
Формат: epub
Размер: 10.1 MB

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward.

With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites.

Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include:

Dependency inversion and its links to ports and adapters (hexagonal/clean architecture)
Domain-driven design’s distinction between entities, value objects, and aggregates
Repository and Unit of Work patterns for persistent storage
Events, commands, and the message bus
Command-query responsibility segregation (CQRS)
Event-driven architecture and reactive microservices

Who Should Read This Book:
Here are a few things we assume about you, dear reader:
- You’ve been close to some reasonably complex Python applications.
- You’ve seen some of the pain that comes with trying to manage that complexity.
- You don’t necessarily know anything about DDD or any of the classic application architecture patterns.

We structure our explorations of architectural patterns around an example app, building it up chapter by chapter. We use TDD at work, so we tend to show listings of tests first, followed by implementation. If you’re not used to working test-first, it may feel a little strange at the beginning, but we hope you’ll soon get used to seeing code “being used” (i.e., from the outside) before you see how it’s built on the inside.

We use some specific Python frameworks and technologies, including Flask, SQLAlchemy, and pytest, as well as Docker and Redis. If you’re already familiar with them, that won’t hurt, but we don’t think it’s required. One of our main aims with this book is to build an architecture for which specific technology choices become minor implementation details.