Flask / Flask Middleware and Extensions

Implementing Before and After Request Hooks

In this tutorial, we'll explore how to use Flask's before and after request hooks to execute code at specific points in the request/response cycle. This can be useful for tasks li…

Tutorial 2 of 5 5 resources in this section

Section overview

5 resources

Explores Flask middleware, hooks, and extensions to extend functionality.

Implementing Before and After Request Hooks

1. Introduction

In this tutorial, we'll learn how to implement before and after request hooks using Flask, a popular web framework for Python. Flask enables you to execute code at specific points in the request/response cycle, which is particularly useful for tasks such as authentication, logging, or modifying responses.

By the end of this tutorial, you should be able to:
- Understand the concept of request hooks in Flask
- Implement before and after request hooks in your web applications

Prerequisites

This tutorial assumes you have basic knowledge of Python and a fundamental understanding of Flask. If you're new to Flask, I recommend reading Flask's official documentation before proceeding with this tutorial.

2. Step-by-Step Guide

Request hooks in Flask are decorators that allow you to trigger certain functions before or after a request has been processed.

The @app.before_request decorator triggers the function before each request, while the @app.after_request decorator triggers the function after each request, but before the response has been sent to the client.

These hooks can be very useful in many scenarios. For instance, @app.before_request can be used to check if a user is authenticated before allowing them to access a route. @app.after_request can be used to modify responses, for example, adding custom headers.

3. Code Examples

Let's see these hooks in action.

Example 1: Using @app.before_request

from flask import Flask, abort

app = Flask(__name__)

@app.before_request
def check_user():
    # Here we pretend to check user authentication
    # In a real application, you would check the user session or a token
    user_authenticated = False 
    if not user_authenticated:
        abort(401)  # abort with HTTP 401 Unauthorized if user is not authenticated

@app.route('/')
def index():
    return "Welcome to the home page!"

if __name__ == "__main__":
    app.run(debug=True)

In this example, the check_user function runs before any request. If the user is not authenticated, it aborts the request with a 401 Unauthorized status code.

Example 2: Using @app.after_request

from flask import Flask, jsonify

app = Flask(__name__)

@app.after_request
def apply_caching(response):
    response.headers["X-Custom-Header"] = "This is a custom header"
    return response

@app.route('/')
def index():
    return jsonify(message="Welcome to the home page!")

if __name__ == "__main__":
    app.run(debug=True)

In this example, the apply_caching function runs after each request, but before the response has been sent to the client. It adds a custom X-Custom-Header to the response.

4. Summary

We've covered how to use Flask's before and after request hooks to execute code at specific points in the request/response cycle. You've learned how to use @app.before_request to run code before each request and how to use @app.after_request to modify responses before they're sent to the client.

Continue learning about Flask by exploring other decorators such as @app.teardown_request and @app.context_processor.

5. Practice Exercises

Exercise 1: Create a Flask application that checks if a custom "X-Api-Key" header is present in the request before processing it. If it's not present, return a 403 Forbidden status.

Exercise 2: Adjust the above application to add a custom "X-Response-Time" header to each response, indicating how long it took to process the request.

Solutions:

  1. Check for "X-Api-Key" header
@app.before_request
def check_api_key():
    if 'X-Api-Key' not in request.headers:
        abort(403)
  1. Add "X-Response-Time" header
import time

@app.before_request
def start_timer():
    g.start = time.time()

@app.after_request
def calculate_time(response):
    diff = time.time() - g.start
    response.headers["X-Response-Time"] = str(diff)
    return response

In the first solution, we use request.headers to access the headers and abort the request if "X-Api-Key" is not present. In the second solution, we use Flask's g object to store the start time of the request and then calculate the difference in the calculate_time function.

Need Help Implementing This?

We build custom systems, plugins, and scalable infrastructure.

Discuss Your Project

Related topics

Keep learning with adjacent tracks.

View category

HTML

Learn the fundamental building blocks of the web using HTML.

Explore

CSS

Master CSS to style and format web pages effectively.

Explore

JavaScript

Learn JavaScript to add interactivity and dynamic behavior to web pages.

Explore

Python

Explore Python for web development, data analysis, and automation.

Explore

SQL

Learn SQL to manage and query relational databases.

Explore

PHP

Master PHP to build dynamic and secure web applications.

Explore

Popular tools

Helpful utilities for quick tasks.

Browse tools

Watermark Generator

Add watermarks to images easily.

Use tool

Timestamp Converter

Convert timestamps to human-readable dates.

Use tool

File Size Checker

Check the size of uploaded files.

Use tool

Date Difference Calculator

Calculate days between two dates.

Use tool

CSS Minifier & Formatter

Clean and compress CSS files.

Use tool

Latest articles

Fresh insights from the CodiWiki team.

Visit blog

AI in Drug Discovery: Accelerating Medical Breakthroughs

In the rapidly evolving landscape of healthcare and pharmaceuticals, Artificial Intelligence (AI) in drug dis…

Read article

AI in Retail: Personalized Shopping and Inventory Management

In the rapidly evolving retail landscape, the integration of Artificial Intelligence (AI) is revolutionizing …

Read article

AI in Public Safety: Predictive Policing and Crime Prevention

In the realm of public safety, the integration of Artificial Intelligence (AI) stands as a beacon of innovati…

Read article

AI in Mental Health: Assisting with Therapy and Diagnostics

In the realm of mental health, the integration of Artificial Intelligence (AI) stands as a beacon of hope and…

Read article

AI in Legal Compliance: Ensuring Regulatory Adherence

In an era where technology continually reshapes the boundaries of industries, Artificial Intelligence (AI) in…

Read article

Need help implementing this?

Get senior engineering support to ship it cleanly and on time.

Get Implementation Help