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Introduction to Flask API

Flask API is defined as a methodology to make HTTP calls to the server to get the data to populate the dynamic parts of the application. Flask is a framework that allows users to fetch data for the server, and corresponding to the use case, API is the most preferred methodology. The data that Flask API retrieves can be represented in a database, stored in a file, or accessible by network protocols. The job of API is to decouple the data and the application and take care of hiding the data implementation details. This article will look at Flask API’s implementation and its syntax and look at the said theory’s hands-on implementation. Without much further ado, let’s get started!

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Syntax

Instantiating return of JSON library:

from flask import jsonify

Return JSON from a function:

return jsonify({'key 1': 'value 1', 'key 2': 'value 2'})

Mention the request method:

Of the request methods available, the syntax for each looks like this:

Defining the API endpoint:

How to Create API in Flask?

In order to start talking about creating API in Flask, it is important to know about some prerequisites that come in handy so that one doesn’t encounter a problem while starting to create API in Flask. Below are the steps we follow:

1. Install Python 3: In this article, we will focus on building APIs through Flask in Python 3. In case python is not installed, it is mandatory to install Python, and in case Python is installed, we would double-check if the version is the same as Python 3 by executing the python –version.

from flask import Flask appFlask = Flask(__name__) @appFlask.route("/") def hello_world(): return "Hello, World!"

3. Create RESTFul API with Flask: now that the Flask application background is set up and is well structured, we would be to architecture relevant endpoints. These endpoints should be defined to allow users to manage the utility of the function that will be defined for the corresponding endpoint.

5. Return of JSON object: One of the most critical places in an API is to be able to return the output as a JSON object. For this, we use a module in Python named jsonify. Jsonify can be used to serialize lists and tuples automatically to JSON and also for dictionary objects. The JSON data type can be checked with google dev tools to make sure it is actually JSON and a string that looks like JSON. We will look at it in our examples.

6. Redirection: Another unique behavior of URLs is having the ability to redirect. Not every URL should have individual content. Some of them are meant for redirection and can be done using API.

8. Logging: Each Flask API built enables you to have a logging system so that one can debug the logs to get to the root cause if anything in the application behaves weird.

Examples of Flask API

Below are the different examples of API in Flask:

Example #1

Instantiating return of JSON library:

Code:

from flask import jsonify jsonify

Output:

Example #2

Build an application with just JSON string:

Code:

import json from flask import Flask appFlask = Flask(__name__) @appFlask.route('/') def index(): return json.dumps({'name': 'EduCBA_User1', 'email': '[email protected]'}) appFlask.run()

Example #3

Build an application with just a JSON object:

Code:

import json from flask import Flask, jsonify appFlask = Flask(__name__) @appFlask.route('/') def index(): return jsonify({'name': 'EduCBA_User1', 'email': '[email protected]'}) appFlask.run()

Output:

Here we can see the content type change from text/html, as seen in example 2, to something which is application/json, as seen in this example.

Conclusion

In conclusion, in this article, we have learned about how API is configured and created in Flask. We can also use hands-on examples to include all the features we mentioned in the making of API in Flask and keep in mind the nuances that might make the APIs heavier. Use the template which suits best the application. Like anytime else, the rest is to you for experimentation to try out the blueprint that is mentioned here in this article!