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Designing Web APIs with Strapi

You're reading from   Designing Web APIs with Strapi Get started with the Strapi headless CMS by building a complete learning management system API

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Product type Paperback
Published in Feb 2022
Publisher Packt
ISBN-13 9781800560635
Length 310 pages
Edition 1st Edition
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Authors (2):
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Khalid Elshafie Khalid Elshafie
Author Profile Icon Khalid Elshafie
Khalid Elshafie
Mozafar Haider Mozafar Haider
Author Profile Icon Mozafar Haider
Mozafar Haider
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Understanding Strapi
2. Chapter 1: An Introduction to Strapi FREE CHAPTER 3. Chapter 2: Building Our First API 4. Chapter 3: Strapi Content-Types 5. Chapter 4: An Overview of the Strapi Admin Panel 6. Section 2: Diving Deeper into Strapi
7. Chapter 5: Customizing Our API 8. Chapter 6: Dealing with Content 9. Chapter 7: Authentication and Authorization in Strapi 10. Chapter 8: Using and Building Plugins 11. Section 3: Running Strapi in Production
12. Chapter 9: Production-Ready Applications 13. Chapter 10: Deploying Strapi 14. Chapter 11: Testing the Strapi API 15. Other Books You May Enjoy Appendix: Connecting a React App to Strapi

Tweaking database queries and responses with life cycle hooks

A model is a representation of a database entity. An entity in a system has a life cycle: it gets created, updated, deleted, and retrieved. While the routes are the external interface to the outside world, the database is the innermost level of our system. Strapi communicates with the database using models that represent it in a database-agnostic way (that is, it can work with different database types) and using the Query Engine API (strapi.db.query).

We briefly mentioned the Query Engine API earlier in this chapter when we came across the Entity Service API and learned that the Entity Service API uses the Query Engine API under the hood to execute database queries. The Query Engine API provides the glue between our models and the actual database entity; it transforms our requests into the final queries to be run against the database and then maps the result back into a model. Sometimes, we want to do something extra...

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