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FastAPIframework~30 mins

Nested models in FastAPI - Mini Project: Build & Apply

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Nested models
📖 Scenario: You are building a simple API for a bookstore. Each book has a title and an author. The author has a name and an email. You want to organize this data using nested models.
🎯 Goal: Create nested Pydantic models in FastAPI to represent a book and its author. The author model should be nested inside the book model.
📋 What You'll Learn
Create a Pydantic model called Author with fields name (string) and email (string).
Create a Pydantic model called Book with fields title (string) and author (of type Author).
Create a FastAPI app instance called app.
Create a POST endpoint /books/ that accepts a Book model as input.
💡 Why This Matters
🌍 Real World
Nested models help organize complex data structures in APIs, like a book with an author inside it.
💼 Career
Understanding nested models is essential for building clear and maintainable APIs in FastAPI, a popular Python web framework.
Progress0 / 4 steps
1
Create the Author model
Create a Pydantic model called Author with two string fields: name and email.
FastAPI
Need a hint?

Use class Author(BaseModel): and define name and email as string fields.

2
Create the Book model with nested Author
Create a Pydantic model called Book with a string field title and a field author of type Author.
FastAPI
Need a hint?

Define class Book(BaseModel): with title as string and author as type Author.

3
Create the FastAPI app instance
Create a FastAPI app instance called app.
FastAPI
Need a hint?

Write app = FastAPI() to create the app instance.

4
Create POST endpoint to accept Book model
Create a POST endpoint /books/ in app that accepts a Book model as input parameter named book.
FastAPI
Need a hint?

Use @app.post("/books/") decorator and define an async function create_book with parameter book: Book. Return the book object.