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

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

    Team_AIBS NewsBy Team_AIBS NewsDecember 25, 2024No Comments1 Min Read
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    Supercharge Your FastAPI with Middleware: Sensible Use Circumstances and Examples

    Towards Data Science

    Picture by ChatGPT

    Middleware sits between an API router its routes, appearing as a layer the place you’ll be able to run code earlier than and after a request is dealt with. On this article we’ll discover two key use circumstances of middleware in FastAPI, demonstrating each how it really works and why it’s helpful. Let’s code!

    To start, let’s create a easy API that serves as a base for our middleware examples. The app under has just one route: take a look at which simulates precise work by sleeping for a couple of milliseconds earlier than returning “OK”.

    import random
    import time

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

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

    What’s middleware?

    Middleware acts as a filter between the incoming HTTP request and the processing finished by your software. Consider it like airport safety: each passenger should undergo safety earlier than and after boarding the aircraft. Equally, each API request passes by middleware: each earlier than being dealt with…



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