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Mastering Flask Web and API Development

Mastering Flask Web and API Development

By : Sherwin John C. Tragura
5 (2)
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Mastering Flask Web and API Development

Mastering Flask Web and API Development

5 (2)
By: Sherwin John C. Tragura

Overview of this book

Flask is a popular Python framework known for its lightweight and modular design. Mastering Flask Web and API Development will take you on an exhaustive tour of the Flask environment and teach you how to build a production-ready application. You’ll start by installing Flask and grasping fundamental concepts, such as MVC and ORM database access. Next, you’ll master structuring applications for scalability through Flask blueprints. As you progress, you’ll explore both SQL and NoSQL databases while creating REST APIs and implementing JWT authentication, and improve your skills in role-based access security, utilizing LDAP, OAuth, OpenID, and databases. The new project structure, managed by context managers, as well as ASGI support, has revolutionized Flask, and you’ll get to grips with these crucial upgrades. You'll also explore out-of-the-box integrations with technologies, such as RabbitMQ, Celery, NoSQL databases, PostgreSQL, and various external modules. The concluding chapters discuss enterprise-related challenges where Flask proves its mettle as a core solution. By the end of this book, you’ll be well-versed with Flask, seeing it not only as a lightweight web and API framework, but also as a potent problem-solving tool in your daily work, addressing integration and enterprise issues alongside Django and FastAPI.
Table of Contents (18 chapters)
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1
Part 1:Learning the Flask 3.x Framework
6
Part 2:Building Advanced Flask 3.x Applications
12
Part 3:Testing, Deploying, and Building Enterprise-Grade Applications

Applying object-relational mapping (ORM)

The most used object-relational mapping (ORM) that can work perfectly with the Flask framework is SQLAlchemy. This ORM is a boilerplated interface that aims to create a database-agnostic data layer to connect to any database engine. But compared to other ORMs, SQLAlchemy has support in optimizing native SQL statements, which makes it popular with many database administrators. When formulating its queries, it only requires Python functions and expressions to pursue CRUD operations.

Before using the ORM, the flask-sqlalchemy and psycopg2-binary extensions for the PostgreSQL database must be installed in the virtual environment using the following command:

pip install psycopg2-binary flask-sqlalchemy

What follows next is the setup of the database connectivity.

Setting up the database connectivity

Now, we are ready to implement the configuration file for our database setup. Flask 3.x supports the declarative extension of SQLAlchemy...

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