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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

Dealing with legacy databases

ORM frameworks can generate the proper SQL commands to create the database schema. When designing and implementing a database from scratch, that means that we can create the ORM Model in code and the ORM framework will make the proper adjustments.

This way of describing the schema in code is called declarative.

But sometimes, we need to work with an existing database that was created previously by manually running SQL commands. There are two possible use cases:

  • The schema will never be under the control of the ORM framework. In this case, we need a way to detect the existing schema and use it.
  • We want to use the ORM framework from this situation to control the fields and any new changes. In this scenario, we need to create a Model that reflects the current situation and move from there to a declarative situation.

Let's take a look at how to approach these situations.

Detecting a schema from...

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