0
0
FastAPIframework~30 mins

Pydantic model definition in FastAPI - Mini Project: Build & Apply

Choose your learning style9 modes available
Pydantic Model Definition in FastAPI
📖 Scenario: You are building a simple FastAPI app to manage a list of books. Each book has a title, author, and number of pages.
🎯 Goal: Create a Pydantic model to define the structure of a book. This model will help FastAPI validate incoming data and generate API docs.
📋 What You'll Learn
Create a Pydantic model named Book
Include fields title (string), author (string), and pages (integer)
Set up a FastAPI app instance named app
Create a POST endpoint /books/ that accepts a Book model
💡 Why This Matters
🌍 Real World
APIs often need to validate incoming data to avoid errors and security issues. Pydantic models help define clear data rules.
💼 Career
FastAPI and Pydantic are popular tools for backend development. Knowing how to define models and endpoints is essential for building reliable web services.
Progress0 / 4 steps
1
Create the Pydantic model
Write a Pydantic model named Book with these fields: title as str, author as str, and pages as int. Import BaseModel from pydantic.
FastAPI
Need a hint?

Remember to import BaseModel from pydantic and create a class that inherits from it.

2
Set up FastAPI app instance
Import FastAPI from fastapi and create an app instance named app.
FastAPI
Need a hint?

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

3
Create POST endpoint to receive Book data
Define a POST endpoint /books/ using @app.post("/books/"). Create a function create_book that takes a parameter book of type Book.
FastAPI
Need a hint?

Use @app.post("/books/") decorator and define an async function with a book parameter typed as Book.

4
Complete the FastAPI app
Ensure the full code includes the Book model, the app instance, and the POST endpoint /books/ that returns the received book data.
FastAPI
Need a hint?

Check that all parts are included and correctly indented.