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boost your api workflow with fastapi middleware mastery

fastapi is a modern web framework for building apis with python. one of its powerful features is middleware, which allows you to process requests and responses globally before they reach your endpoint or after they leave it. middleware can help you with cross-cutting concerns such as logging, authentication, and performance monitoring.

in this tutorial, we will cover the basics of creating middleware in fastapi, including how to implement custom middleware and use built-in middleware. we'll also demonstrate how to apply middleware to your api workflow with a code example.

what is middleware?

middleware is a function that runs before and/or after your request is processed. it can modify the request or response, handle exceptions, and perform other operations.

setting up fastapi

to get started, you need to have fastapi and an asgi server like `uvicorn` installed. you can install them using pip:

```bash
pip install fastapi uvicorn
```

creating simple middleware

let’s create a simple middleware that logs the request details and response time.

1. *create a middleware class*

```python
from fastapi import fastapi, request
import time
import logging

configure logging
logging.basicconfig(level=logging.info)

class loggingmiddleware:
def __init__(self, app: fastapi):
self.app = app

async def __call__(self, request: request, call_next):
start_time = time.time()

log request details
logging.info(f"request: {request.method} {request.url}")

process the request
response = await call_next(request)

duration = time.time() - start_time
log response time
logging.info(f"response status: {response.status_code} - duration: {duration:.4f} seconds")

return response
```

2. *integrate middleware into the fastapi app*

```python
app = fastapi()

add middleware to the fastapi app
app.add_middleware(loggingmiddleware)

@app. ...

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