Understanding When and How to Implement FastAPI Middleware (Examples and Use Cases) | by Mike Huls | Dec, 2024


Supercharge Your FastAPI with Middleware: Practical Use Cases and Examples

Towards Data Science
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Middleware sits between an API router its routes, acting as a layer where you can run code before and after a request is handled. In this article we’ll explore two key use cases of middleware in FastAPI, demonstrating both how it works and why it’s useful. Let’s code!

To begin, let’s create a simple API that serves as a base for our middleware examples. The app below has only one route: test which simulates actual work by sleeping for a few milliseconds before returning “OK”.

import random
import time

from fastapi import FastAPI
app = FastAPI(title="My API")

@app.get('/test')
def test_route() -> str:
sleep_seconds:float = random.randrange(10, 100) / 100
time.sleep(sleep_seconds)
return "OK"

What is middleware?

Middleware acts as a filter between the incoming HTTP request and the processing done by your application. Think of it like airport security: every passenger must go through security before and after boarding the plane. Similarly, every API request passes through middleware: both before being handled…

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