Introduction

FastAPI is a modern, fast (high-performance) Python web framework for building APIs. It's designed to be easy to use, fast to code, and ready for production. In this guide, we'll walk through the process of creating your first FastAPI application.

Prerequisites

Before we begin, make sure you have:

• Python 3.6+ installed
• pip (Python package manager)
• A text editor or IDE of your choice

Step 1: Setting Up Your Environment

First, let's create a new directory for our project and set up a virtual environment:

mkdir fastapi-first-app
cd fastapi-first-app
python -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate

Step 2: Installing FastAPI

Now, let's install FastAPI and its dependencies:

pip install fastapi[all]

This command installs FastAPI along with all optional dependencies, including the Uvicorn ASGI server.

Step 3: Creating Your First FastAPI Application

Create a new file named main.py in your project directory and add the following code:

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
async def root():
    return {"message": "Hello, FastAPI!"}

Let's break down this code:

1. We import FastAPI from the fastapi module.
2. We create an instance of the FastAPI class.
3. We define a route using the @app.get("/") decorator, which tells FastAPI that this function should handle GET requests to the root URL ("/").
4. The root() function is an asynchronous function that returns a JSON response.

Step 4: Running Your Application

To run your FastAPI application, use the following command:

uvicorn main:app --reload

This command starts the Uvicorn server and tells it to:

• Use the app object from the main.py file
• Enable auto-reload for development

You should see output indicating that the server is running. By default, it will be available at http://127.0.0.1:8000.

Step 5: Testing Your API

Open your web browser and navigate to http://127.0.0.1:8000. You should see the JSON response:

{"message": "Hello, FastAPI!"}

Congratulations! You've just created and run your first FastAPI application.

Step 6: Adding More Endpoints

Let's add a few more endpoints to our application to demonstrate FastAPI's capabilities. Update your main.py file with the following code:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float
    is_offer: bool = None

@app.get("/")
async def root():
    return {"message": "Hello, FastAPI!"}

@app.get("/items/{item_id}")
async def read_item(item_id: int):
    return {"item_id": item_id}

@app.post("/items")
async def create_item(item: Item):
    return item

In this updated version, we've added:

1. A GET endpoint that accepts a path parameter (item_id).
2. A POST endpoint that accepts a JSON payload conforming to the Item model.

Step 7: Exploring FastAPI's Automatic Documentation

One of FastAPI's most powerful features is its automatic interactive API documentation. To see it in action:

1. Start your server (if it's not already running)
2. Navigate to http://127.0.0.1:8000/docs in your web browser

You'll see a Swagger UI interface that allows you to explore and test your API endpoints interactively.

Conclusion

You've now created your first FastAPI application, added multiple endpoints, and explored some of FastAPI's key features. This is just the beginning of what you can do with FastAPI. As you continue your journey, you'll discover how to handle more complex scenarios, integrate with databases, implement authentication, and much more.

Remember to refer to the official FastAPI documentation for in-depth information on its features and best practices. Happy coding!