Flask / Flask REST API Development
Building REST APIs with Flask-RESTful
This tutorial will guide you through the process of building a REST API using Flask-RESTful, a powerful extension for Flask that simplifies API development.
Section overview
5 resourcesCovers building RESTful APIs with Flask using Flask-RESTful and other extensions.
Building REST APIs with Flask-RESTful: A Comprehensive Tutorial
1. Introduction
In this tutorial, our goal is to guide you through the process of building a RESTful API using Flask-RESTful. Flask-RESTful is an extension for Flask that simplifies the process of building APIs and reduces the amount of boilerplate code you need to write.
By the end of this tutorial, you will learn:
- How to set up a Flask project
- How to install and use Flask-RESTful
- How to define resources and routes
- How to handle requests and responses
Prerequisites: Basic knowledge of Python and understanding of web development concepts.
2. Step-by-Step Guide
i. Setting Up
Start by setting up a new Flask project. Install Flask and Flask-RESTful using pip:
pip install flask flask-restful
ii. Creating the Flask Application
Create a new file app.py and import Flask and Api from flask_restful.
from flask import Flask
from flask_restful import Api
app = Flask(__name__)
api = Api(app)
The Api object will be our entry point for adding resources.
iii. Defining a Resource
A resource can be defined as a class that inherits from Resource. Each HTTP method is mapped to a method in this class.
from flask_restful import Resource
class HelloWorld(Resource):
def get(self):
return {'message': 'Hello, World!'}
iv. Adding the Resource to the API
Now, link the resource with a URL so that it can be accessed.
api.add_resource(HelloWorld, '/')
v. Running the Application
Finally, add the code to run the application.
if __name__ == '__main__':
app.run(debug=True)
3. Code Examples
Example 1: A Simple GET Request
In the code below, we define a resource HelloWorld with a get method that returns a simple message.
from flask import Flask
from flask_restful import Resource, Api
app = Flask(__name__)
api = Api(app)
class HelloWorld(Resource):
def get(self):
# Return a simple message
return {'message': 'Hello, World!'}
# Add the HelloWorld resource and associate it with the '/' URL
api.add_resource(HelloWorld, '/')
if __name__ == '__main__':
app.run(debug=True)
When you run this code and navigate to http://localhost:5000/, you should see the message "Hello, World!".
Example 2: Handling URL Parameters
You can also handle URL parameters as shown below. The get method takes an argument todo_id and uses it to return a specific todo item.
class TodoResource(Resource):
def get(self, todo_id):
return {todo_id: todos[todo_id]}
api.add_resource(TodoResource, '/todos/<int:todo_id>')
In this case, if you navigate to http://localhost:5000/todos/1, you would get the todo item with ID 1.
4. Summary
In this tutorial, we have covered:
- Setting up a Flask project and installing Flask-RESTful
- Creating a Flask application and an API
- Defining and adding resources to the API
- Handling requests and responses
Continue learning by exploring more about how to handle different HTTP methods like POST, PUT, DELETE, and how to use request parsing for more complex data handling.
5. Practice Exercises
- Create a resource
TodoListthat returns a list of all todos. Map it to the URL '/todos'. - Add a
postmethod toTodoListthat allows adding a new todo item. - Add a
deletemethod toTodoResourcethat allows deleting a specific todo item.
For further practice, consider learning about how to connect your API to a database, or how to secure your API using authentication and authorization.
Need Help Implementing This?
We build custom systems, plugins, and scalable infrastructure.
Related topics
Keep learning with adjacent tracks.
Popular tools
Helpful utilities for quick tasks.
Latest articles
Fresh insights from the CodiWiki team.
AI in Drug Discovery: Accelerating Medical Breakthroughs
In the rapidly evolving landscape of healthcare and pharmaceuticals, Artificial Intelligence (AI) in drug dis…
Read articleAI in Retail: Personalized Shopping and Inventory Management
In the rapidly evolving retail landscape, the integration of Artificial Intelligence (AI) is revolutionizing …
Read articleAI 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 articleAI 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 articleAI in Legal Compliance: Ensuring Regulatory Adherence
In an era where technology continually reshapes the boundaries of industries, Artificial Intelligence (AI) in…
Read article