Book Image

Full-Stack Flask and React

By : Adedeji
3.5 (2)
Book Image

Full-Stack Flask and React

3.5 (2)
By: Adedeji

Overview of this book

Developing an interactive, efficient, and fast enterprise web application requires both the right approach and tooling. If you are a web developer looking for a way to tap the power of React’s reusable UI components and the simplicity of Flask for backend development to develop production-ready, scalable web apps in Python, then this book is for you. Starting with an introduction to React, a JavaScript library for building highly interactive and reusable user interfaces, you’ll progress to data modeling for the web using SQLAlchemy and PostgreSQL, and then get to grips with Restful API development. This book will aid you in identifying your app users and managing access to your web application. You’ll also explore modular architectural design for Flask-based web applications and master error-handling techniques. Before you deploy your web app on AWS, this book will show you how to integrate unit testing best practices to ensure code reliability and functionality, making your apps not only efficient and fast but also robust and dependable. By the end of this book, you’ll have acquired deep knowledge of the Flask and React technology stacks, which will help you undertake web application development with confidence.
Table of Contents (21 chapters)
1
Part 1 – Frontend Development with React
9
Part 2 – Backend Development with Flask

Tracking events in your application

Flask allows you to track events in your application in an elegant way. This is critical to identifying potential issues. By tracking events, you can get a better understanding of what is happening in your application and make informed decisions about how to improve the situation.

There are several ways to track events in Flask, including using built-in logging functionality, third-party logging services, or custom code tracking. For instance, you can use the Python logging module to log information about your application activities to a file or to the console.

Using the logging module is easy; simply import logging into your Flask application and configure it to log information at the appropriate level. For instance, the following code configures the logging module to log information to a file named error.log:

import loggingfrom flask import Flask
app = Flask(__name__)
# Set up a logger
logger = logging.getLogger(__name__)
logger.setLevel...