Python REST APIs With Flask, Connexion, and SQLAlchemy Part 1

In its place, we defined an endpoint to handle HTTP GET requests to return incomes and another endpoint to handle HTTP POST requests to add new ones. These endpoints are annotated with @app.route to define routes listening to requests on the /incomes endpoint. Even restful api python flask though Django is older and has a slightly more extensive community, Flask has its strengths. From the ground up, Flask was built with scalability and simplicity. Flask applications are known for being lightweight, mainly compared to their Django counterparts.

restful api python flask

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.

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REST (Representational State Transfer) is a widely used architectural style for designing networked applications. Flask, a micro web framework for Python, provides an excellent platform for building RESTful APIs due to its simplicity and flexibility. In this blog post, we’ll take you through a step-by-step guide on how to build a RESTful API with Flask, covering the fundamentals and best practices. Flask restful defines the resource class, which contains methods for each HTTP method.

  • However, the use case for your REST API will be taking user input from the web application and using it to create SQL queries.
  • “Micro” does not mean that your whole web application has to fit into a single Python file (although it certainly can), nor does it mean that Flask is lacking in functionality.
  • As we are planning to eventually release our API in the cloud, we are going to create a Dockerfile to describe what is needed to run the application on a Docker container.
  • 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.

This becomes even more beneficial when your database tables become larger and the interactions more complex. The module is, as the name implies, where all of your configuration information is created and initialized. In this file, you’re going to configure Flask, Connexion, SQLAlchemy, and Marshmallow.

Adding Your First REST API Endpoint

Restful.Resource is from a Flask-Restful extension, which is not Flask itself. The above script assumes you downloaded the Models, Schemas and Resources omitted from this post for our Season, Stats and Teams objects. Each Model typically consists of Columns, and these Columns can be marked as primary keys, define relationships, and more. This file is our SQLite database containing a small amount of football stats data to test our API with. Ensure you have at least Python 3.11 installed before proceeding. Fantasy Sports offer all kinds of statistics and data to sort through.

This is important because we have different APIs in projects to get data post data but the data somewhere else. So far, you’re able to create a new person and get a list with all your people. In this section, you’ll update swagger.yml and to work with a new path that handles a single existing person. As PEOPLE is a module variable, its state persists between REST API calls. However, any data that you change will be lost when you restart your web application. You then define the PEOPLE dictionary data structure in line 8, which is the data you’ll work with in this part of the tutorial series.

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