Building a RESTful Blog APIs using python and flask - Part 1


The data argument tells requests what data to include in the request. You also pass the headers dictionary to to set the HTTP headers manually. Now that you’ve got requests installed, you can start sending HTTP requests. The endpoints listed above represent only one resource in the system. Production-ready REST Network Technical Interview Questions için 16 fikir bilgisayar ağı, bilgisayar, ağda APIs often have tens or even hundreds of different endpoints to manage the resources in the web service. HTTP status codes come in handy when working with REST APIs as you’ll often need to perform different logic based on the results of the request. This URL allows you to access information about a specific GitHub user.

  • First, set the environment to development and tell your terminal the application to work with by exporting the FLASK_APP environment variable in Linux.
  • To keep things consistent, you’ll use countries as your main endpoint for all three frameworks.
  • All of the example code is available from a link provided at the end of this article.
  • Simply put, REST is an architectural structure that uses HTTP methods to POST and GET data.

We use UserModel.get_user_by_email(data.get(’email’)) to filter the user’s table using the user email address and return How to Become a Project Manager in 2022: Complete guide an error message if the user does not exist. If the password matches, then we generate and return a token to the user.

How a REST API is created and tested

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. We need to install Docker on our development machine to test and run dockerized instances of our project. Defining a Docker recipe will help us run the API on different environments. That is, in the future, we will also install Docker and run our program on environments like production and staging. We added four more endpoints to get, update and delete the current user, and the fourth one to get a user information through their id. Now, let jump back to creating the endpoint that will get all user’s data on the db and only a user with a valid token will be able to access this route. We created two classes Development – which contains development environment configs and Production – which contains production environment configs.

  • Python provides some great tools not only to get data from REST APIs but also to build your own Python REST APIs.
  • REST APIs are of a different kind and are used for other purposes.
  • You constantly refer to an ‘id’ when it would be much better to simply use a URI.
  • To get our feet wet, we will start by defining two endpoints to handle incomes.

Typically, the client is supposed to be another application or machine that is going to request the server for resources. However, it is not always possible to develop an entire application to test your APIs. For that purpose, we have another tool, Postman, that will help us test our endpoints once we are done with the development. I would advise you to download and install Postmanon your machine before continuing the next part of the article. Now that you’ve created an application to work with, you need to tell Django about it. Alongside the countries folder that you just created is another folder called countryapi. This folder contains configurations and settings for your project.

REST APIs with Flask and Python

You can follow this article to learn more about REST APIs. Some of the most popular REST Front End Developer What is Front End Development, Explained in Plain English APIs available to work with are available from Twitter, Instagram, Spotify etc.

  • Blogposts field was added to UserModel with some rules that will allow us to get every blogposts owns by a user when querying UserModel.
  • This library abstracts away the complexities of making HTTP requests.
  • To install pipenv, type pip install pipenv in the terminal, and the installation process will commence.
  • As the name suggests, the DELETE method is used to remove a resource.
  • Flask restful defines the resource class, which contains methods for each HTTP method.

In many cases, it makes sense to first create an API interface to your core data or functionality before extrapolating on it to create a visualization, application, or website. Not only does it make your work accessible to researchers working on other projects, but it often leads to a more comprehensible and maintainable project. In the next section, we’ll allow users to find books via more specific data, such as an entry’s ID. Python has a number of web frameworks that can be used to create web apps and APIs. The most well-known is Django, a framework that has a set project structure and which includes many built-in tools. This can save time and effort for experienced programmers, but can be overwhelming. Flask applications tend to be written on a blank canvas, so to speak, and so are more suited to a contained application such as our prototype API.

Add this topic to your repo

This serializer, CountrySerializer, subclasses serializers.ModelSerializer to automatically generate JSON content based on the model fields of Country. Unless specified, a ModelSerializer subclass will include all fields from the Django model in the JSON. You can modify this behavior by setting fields to a list of data you wish to include. Another popular option for building REST APIs is Django REST framework. Django REST framework is a Django plugin that adds REST API functionality on top of an existing Django project.

  • Basically, what we will need to install is Python 3, Pip , and Flask.
  • Nothing irritates me more than using a JSON API which returns HTML when an error occurs, so I was keen to put in some reasonable error handling to avoid this happening.
  • I enjoyed the overview of making your own programming language.
  • Now, in order to consume these APIs, also known as endpoints, we need a client to place requests from.
  • No matter what strategy you select, versioning your API is an important step to ensuring it can adapt to changing requirements while supporting existing users.

This video course will teach you how you can build REST API with Python, using Flask. The course starts with a Python refresher, which will take you from the basics to some of the most advanced features of Python.

Introducing APIs

With its high performance and modern features like async functions and automatic documentation, FastAPI is worth considering for your next REST API. In this line, you see country_id, which stores an integer for the ID of the Country. It uses the Field function from Pydantic to modify the behavior of country_id.

build simple restful api with python and flask part 1

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