Create REST APIs in Python using Flask
An avid reader, she enjoys staying abreast of the latest tech trends. You can provide API and data dump for users to find one or more matches. Open How to Become a DevOps Engineer Tasks, Career Path, Courses, and Salary Info Library is an example that provides a clear understanding of both API and data dump. Each of them serves different use cases for different users.
- The server will first go to the Database and search for the Book.
- However, these methods do not have a route decorator, so they are based on resource routes.
- Flask-RESTful was initially developed as an internal project at Twilio, built to power their public and internal APIs.
One endpoint lists all resources or filters them according to some criterion. The second endpoint retrieves the details of a specific resource based on a unique identifier. In this section, you create two endpoints to GET resources from your API. This section may refer to these endpoints as the list and details endpoints. The REST protocol gives clients access to resources stored in a database and allows clients to perform operations on the stored data.
An API Case Study: Sensationalism and Historical Fires
To write code that interacts with REST APIs, most Python developers turn to requests to send HTTP requests. This library abstracts away the complexities of making HTTP requests. It’s one of the few projects worth treating as if it’s part of the standard library. The Free Online Course: The Ultimate Guide in Becoming a SQL Server DBA from Udemy endpoints listed above represent only one resource in the system. Production-ready REST APIs often have tens or even hundreds of different endpoints to manage the resources in the web service. This URL allows you to access information about a specific GitHub user.
In Part 2 of this Series, we’ll complete setting up blogpost endpoints. We use decode_token() static method to decode supplied user’s token using the same JWT_SECRET_KEY we used in signing the token. The method checks and validates the token, we’ll need this later in our project.
Method 1: Using Flask ‘jsonify’ object
This response also includes a copy of the new car with an id generated by the API. It’s important to send back an id in the response so that the user can modify the resource again. As you do this, make sure to consider any nested resources. For example, customers may have sales, or events may contain guests. Establishing these resource hierarchies will help when you define API endpoints. As with most things in technology, there’s a wide range of opinions on the best approach to building APIs.
- Next, change the list_programming_languages() function to act upon the query parameters before_year and after_year.
- Let’s go to the next point where we are going to create our mocked data.
- Close your terminal window where you ran the curl commands.
- As you identify different resources in your web service, you’ll build out a list of nouns that describe the different data users can manage in the API.
By separating the code from the API URL endpoint configuration, we decouple one from the other. This alone has been very useful to me in my work building API systems How to Become a Project Manager: A Comprehensive Guide supporting single page web applications. I’ve started to write some client code using Kenneth Reitz’s requests library and it’s really simple to use .
RESTful Web API with Flask – Medium
But people have many doubts about REST API, how can we create it for a different use case, or perform some task like validation, converting code, etc. In this tutorial, we will practically learn to create Flask API and make working our REST APIs more powerful. Before starting this, I assume that you are familiar with basic Python and Flask.
For a final check, we can make a GET request to the ‘/menu’ route, which will help us confirm whether the items were added or deleted from the menu. The PUT request will take in a JSON and add it to the menu if the item isn’t already present. Again, keep in mind that this is only for restaurant staff to use. If this were to be used in production, there would need to be some sort of authentication system in place — which is beyond the scope of this article.
Python | Build a REST API using Flask – GeeksforGeeks
When you want to read data from the CSV file, we can use the Pandas library. It will make it easier to deal with the data from flat files. We can now look at how to create an API using Flask API Framework and test it using Postman.
This will run the web application on the development server. As you can see in this snippet, there are three methods to fetch, write and delete records from the CSV file. When you want to let the Flask understand which code to execute, you can call the endpoint. Below is the snippet for the code block in the Python class and add the information which will let the Flask know which class to bind with which endpoint.
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Connecting Repositories – A collection of open access articles from various sources hosted by the Open University. The database we’re working with has five columns id, published, author, title, and first_sentence. Each row represents one book that won the Hugo award in the year under the published heading, and the text of which begins with the sentence in the first_sentence column. Finally, the return jsonify line takes the list of results and renders them in the browser as JSON. Remember that you can provide both a data dump and an API, and individual users may find one or the other to better match their use case.
- If yes, we will update the values; if no, we will return the information.
- Again after it completes the action, it will forget about it.
- Instead of using the server secret, this route is using the user’s secret from the fauna-user-secret HTTP header which is used to instantiate the Fauna client.
- The REST API returns 201 CREATED along with the JSON for the new country you added.