Next, create a main.py file, which will serve as the entry point to our app: touch main.py We’re creating this directory so that we have a folder where our app’s other folders will reside. Now, let’s install our Flask package: pip install flaskĬreate a directory named api in our current directory. (env) appears before the prompt ( Large preview) You will see that your CLI prompt now has env at the beginning, indicating that our environment is active. To activate our virtual environment, use the following command: source env/bin/activate Now that we’ve created the virtual environment, we have to tell our project to use it. The name (in this case, env) is an alias for the virtual environment and can be named anything. This command creates an env folder in our directory. Let’s create a virtual environment in our flask-app directory: python3 -m venv env venv is a module that ships with Python 3. This means that this project can have its own dependencies, different from other project on your machines. Virtual environments isolate your working Python development. The first thing to do when starting a Python project is to create a virtual environment. We will call it flask-app: mkdir flask-app & cd flask-app Our first step is to create the directory where our project will live. To check whether Python is installed, launch your command-line interface (CLI) and run the command below: python -V If you don’t, head over to the official website to download and install it. This tutorial assumes you have Python 3.x installed. This tutorial is aimed at beginners who are taking their first stab at using Google Cloud for their app. We’ll set up Google’s Cloud SQL for our database and launch our app by deploying to App Engine. Alongside that, we will be using the suite of services on the Google Cloud platform. The endpoints will be for GET and POST requests: fetching and creating resources. This article will focus on defining the view functions and controller and on connecting to a database on Google Cloud and deploying to Google Cloud.įor the purpose of learning, we’ll build a Flask API with a few endpoints to manage a collection of our favorite songs. Getting started with it is easy, and packages are available to make it robust as you go. Flaskįlask, on the other hand, is a lightweight framework for building APIs. It’s best suited to complex web applications that need to leverage the advanced functionality of Django. The downside of its robustness, however, is that it could make the framework too complex for certain projects. Djangoĭjango is a robust framework that has a predefined structure with built-in functionality. The complexity of a web application could be a deciding factor when you’re choosing which framework to work with. Frameworks comes with functionality that makes it easy for developers to implement the features that users need to interact with their applications. (Cloud SQL is a fully managed platform-as-a-service (PaaS) database engine, and App Engine is a fully managed PaaS for hosting applications.)Ī few Python frameworks can be used to create APIs, two of which are Flask and Django. In this tutorial, we’ll learn how to set up Google Cloud, Cloud SQL, and App Engine to build a Flask API. Flask makes it possible for developers to build an API for whatever use case they might have.
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