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  • Book Overview & Buying Flask Blueprints
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Flask Blueprints

Flask Blueprints

By : Joel Perras
3.3 (3)
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Flask Blueprints

Flask Blueprints

3.3 (3)
By: Joel Perras

Overview of this book

Flask is a small but powerful web development framework for Python. Though Flask is termed a micro-framework, it is no way lacking in functionality; there are many extensions available to Flask which helps it to function at the same level as other large frameworks such as Django and Ruby on Rails. This book will demonstrate how to develop a series of web application projects with the Python web micro-framework, and leverage extensions and external Python libraries and APIs to extend the development of a variety of larger and more complex web applications. The book will start by explaining Python’s Virtualenv library and how to create and switch between multiple virtual environments. You’ll first build an SQL database-backed application, which will use Flask-WTF, Flask-SQLAlchemy, Jinja templates, and other methods. Next you’ll move on to a timeline application, built using concepts including pytest-Flask, the Blinker package, data modelling for user timelines, exception handling, and creating and organizing CLI tools. Moving on, you’ll discover how to implement a photo timeline application where you’ll explore topics such as writing and running celery tasks, API error handling and testing, and Werkzeug middlewares. Finally, the book walks you through creating an application which fetches data from GitHub and stores it locally. You will also learn how to install and configure Flask-Click extension.
Table of Contents (9 chapters)
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Starting off


We once again reach for our basic Blueprint-based application structure and create a whole new virtual environment and directory for this new venture:

$ mkdir -p ~/src/hublot && cd ~/src/hublot
$ mkvirtualenv hublot
$ pip install flask flask-sqlalchemy flask-script

The application layout that we'll start off with is very similar to what we used in previous Blueprint-based projects, with the main difference being the manage.py script, which will be the main entry point for our Flask-Script CLI commands. Also note the lack of run.py and a database.py, which we alluded to previously and will explain in more detail shortly:

├── application
│   ├── __init__.py
│   └── repositories
│       ├── __init__.py
│       └── models.py
└── manage.py

In keeping with our previous work, we continue to use the Application Factory pattern to allow the instantiation of our application to happen at runtime instead of at module import time, as we shall do with the Flask-SQLAlchemy extension...

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