Flask Framework Cookbook by Shalabh Aggarwal

By Shalabh Aggarwal

Over eighty hands-on recipes that can assist you create small-to-large net functions utilizing Flask

About This Book

  • Get the main out of the robust Flask framework whereas closing versatile along with your layout choices
  • Build end-to-end net functions, correct from their deploy to the post-deployment stages
  • Packed with recipes containing plenty of pattern purposes that will help you comprehend the intricacies of the code

Who This ebook Is For

If you're a internet developer who desires to study extra approximately constructing purposes in Flask and scale them with industry-standard practices, this can be the ebook for you. This booklet also will act as a great tool while you're conscious of Flask's significant extensions and need to make the simplest use of them.

It is thought that you've got wisdom of Python and a easy knowing of Flask. when you are thoroughly new to Flask, examining the e-book from the 1st bankruptcy and going ahead might help in getting familiar with Flask as you move ahead.

In Detail

Flask Framework Cookbook takes you thru a few recipes that can assist you comprehend the ability of Flask and its extensions. you are going to commence by way of seeing different methods of configurations Flask program could make use of. you are going to find out how to paintings with templates and know about the ORM and look at layers. you will see that the way to write an admin interface through the debugging and logging of mistakes. ultimately, you'll know about varied deployment and post-deployment thoughts on systems resembling Apache, twister, and Heroku.

By the tip of this booklet, you might have won all of the wisdom required to put in writing Flask functions within the absolute best manner, and scale them with top practices.

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Extra resources for Flask Framework Cookbook

Sample text

In this chapter, we will cover the following recipes: ff Creating a SQLAlchemy DB instance ff Creating a basic product model ff Creating a relational category model ff Database migration using Alembic and Flask-Migrate ff Model data indexing with Redis ff Opting the NoSQL way with MongoDB Introduction Flask has been designed to be flexible enough to support any database. 0 interface and does not actually give an ORM. Here, we will use SQL queries to talk with the database. This approach is not suggested for large projects as it can eventually become a nightmare to maintain the application.

Note the URL in the browser. This is how the product page will look: 31 Templating with Jinja2 See also ff Check out the Creating a custom context processor and Creating a custom Jinja2 filter recipes, which extend this application Creating a custom context processor Sometimes, we might want to calculate or process a value directly in the templates. Jinja2 maintains a notion that the processing of logic should be handled in views and not in templates, and thus, it keeps the templates clean. A context processor becomes a handy tool in this case.

Py. py. db' db = SQLAlchemy(app) Here, we configure our application to point SQLALCHEMY_DATABASE_URI to a specific location. Then, we create an object of SQLAlchemy with the name db. As the name suggests, this is the object that will handle all our ORM-related activities. As mentioned earlier, this object has a class named Model, which provides the base for creating models in Flask. Any class can just subclass or inherit the Model class to create models, which will act as database tables. 1:5000 in a browser, we will actually see nothing.

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