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GraphQL Best Practices

You're reading from   GraphQL Best Practices Gain hands-on experience with schema design, security, and error handling

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835467145
Length 422 pages
Edition 1st Edition
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Author (1):
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Artur Czemiel Artur Czemiel
Author Profile Icon Artur Czemiel
Artur Czemiel
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Table of Contents (23) Chapters Close

Preface 1. Part 1 - Why GraphQL? FREE CHAPTER
2. Chapter 1: Unveiling the Holy Grail of Communication – GraphQL 3. Chapter 2: Applying an AI-Friendly Approach to GraphQL 4. Part 2 - Schema-First Design Patterns
5. Chapter 3: Crafting Effective GraphQL Schemas 6. Chapter 4: Building Pipes 7. Part 3 - Exploring Possible Ways to Use GraphQL
8. Chapter 5: Transitioning from REST to GraphQL 9. Chapter 6: Defining GraphQL Transformers 10. Chapter 7: Understanding GraphQL Federation 11. Part 4 - Advanced GraphQL
12. Chapter 8: Executing Schema-First Systems 13. Chapter 9: Working on the Frontend with GraphQL 14. Chapter 10: Keeping Data Secure 15. Chapter 11: Describing Errors in GraphQL 16. Chapter 12: Documenting your Schema 17. Chapter 13: Tackling Schemas with Visualization 18. Part 5 - From an Idea to a Working Project
19. Chapter 14: From an Idea to a Working Project – Backend Development with GraphQL and TypeScript 20. Chapter 15: From an Idea to a Working Project – Frontend Integration with GraphQL and TypeScript 21. Index 22. Other Books You May Enjoy

Creating whole schemas with AI

What can be surprising is that GraphQL schemas work immediately in GPT systems. They already have a basic knowledge of GraphQL and REST, so they are able to generate definitions for different programming languages.

Let’s create a small system to build a GraphQL Schema. Here is the system message that we will use:

You are a GraphQL Schema Builder.

That’s all it takes for the LLM interface to understand what we mean. Of course, we can change the model or use fine-tune it, but for now, this will suffice.

Now let’s focus on the prompt. Imagine that we are visionary clients creating a new weather application. This service should provide essential weather data. In this case, the prompt may look like this:

A schema for a weather service including city, date, temperature, wind, rain, and humidity data.

These are the basic pieces of information provided by the client. To understand whether the data inside our prompt is adequate...

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