Book Image

Mastering Flask Web Development - Second Edition

By : Daniel Gaspar, Jack Stouffer
Book Image

Mastering Flask Web Development - Second Edition

By: Daniel Gaspar, Jack Stouffer

Overview of this book

Flask is a popular Python framework known for its lightweight and modular design. Mastering Flask Web Development will take you on a complete tour of the Flask environment and teach you how to build a production-ready application. You'll begin by learning about the installation of Flask and basic concepts such as MVC and accessing a database using an ORM. You will learn how to structure your application so that it can scale to any size with the help of Flask Blueprints. You'll then learn how to use Jinja2 templates with a high level of expertise. You will also learn how to develop with SQL or NoSQL databases, and how to develop REST APIs and JWT authentication. Next, you'll move on to build role-based access security and authentication using LDAP, OAuth, OpenID, and database. Also learn how to create asynchronous tasks that can scale to any load using Celery and RabbitMQ or Redis. You will also be introduced to a wide range of Flask extensions to leverage technologies such as cache, localization, and debugging. You will learn how to build your own Flask extensions, how to write tests, and how to get test coverage reports. Finally, you will learn how to deploy your application on Heroku and AWS using various technologies, such as Docker, CloudFormation, and Elastic Beanstalk, and will also learn how to develop Jenkins pipelines to build, test, and deploy applications.
Table of Contents (15 chapters)

Creating Models with SQLAlchemy

As we saw in the last chapter, models are a means of abstracting and providing a common interface to access data. In most web applications, data is stored and retrieved from a relational database management system (RDBMS), which is a database that holds data in a tabular format with rows and columns and is able to implement a relational model with data across tables. Some examples include MySQL, Postgres, Oracle, and MSSQL.

In order to create models on top of our database, we will use a Python package named SQLAlchemy. SQLAlchemy is a database API at its lowest level, and performs object relational mapping at its highest level. An ORM (object relational mapper) is a tool that allows developers to store and retrieve data using object-oriented approaches and solve object-relational mismatches—a set of conceptual and technical difficulties that...