Creating RESTful Web APIs using Flask and Python by Jimit Dholakia

When we run the above file using POSTMAN, we try to get the data without login in to give you unauthorized access. This JSON object resembles the Person component that you were defining earlier in swagger.yml and that you’re referencing with $ref in schema. You can even try the endpoint out by clicking the Try it out button. The Swagger UI API documentation gives you a way to explore and experiment with the API without having to write any code to do so. Flask comes with the Jinja Templating Engine, which enables you to enhance your templates. But your home.html template is a basic HTML file without any Jinja features.

In today’s interconnected world, building robust and scalable APIs is essential for seamless integration between different applications. Flask, a popular Python web framework, offers a simple and elegant solution for creating RESTful APIs. Whether you’re a beginner or an experienced developer, this tutorial will help you dive into the world of Flask and empower you to build powerful APIs.

What are APIs and Why Do They Matter?

Resources typically represent the nouns in our API, such as Players, Teams, Seasons, and Stats. This paradigm is essential in creating clean, pragmatic RESTful APIs. Note that in both blueprints, the restful api python flask /hello/ route is calling the hello function. Blueprints allow us to separate various endpoints into subdomains. You can also use jsonify to automatically serialize lists and tuples to JSON Response.

  • In the code above, you’re feeding your project’s database with the content of PEOPLE_NOTES.
  • You can protect your program by sanitizing all data that you get from the users of your application.
  • Pipenv is a dependency manager that isolates projects in private environments, allowing packages to be installed per project.
  • Having redundant data like this can also lead to maintenance issues as time goes by.

In order to do this, every record containing the Easter Bunny’s name would have to be updated in order to keep the data consistent. This kind of work against the database can lead to data inconsistency, particularly if the work is done by a person running a SQL query by hand. Conceptually, the above table structure has the advantage of being relatively simple to understand. You could even make the case that the data could be persisted to a CSV file instead of a database. Note that the lname values in PEOPLE_NOTES correspond to the contents of your lname column in the person table of your people.db database.

Explore Your Complete API Documentation

To also make use of auto-generated API documentation, you install Connexion with the added support for Swagger UI. Later in this tutorial, you’ll learn more about the Python packages that you just installed. After you navigate to the project folder, it’s a good idea to create and activate a virtual environment. In this section, you’ll prepare the development environment for your Flask REST API project. First, you’ll create a virtual environment and install all the dependencies that you need for your project.

restful api python flask

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