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)

Monitoring Celery

When our code is pushed to the server, our Celery worker will not be run in the Terminal window—rather, it will be run as a background task. Because of this, Celery provides many command-line arguments to monitor the status of your Celery worker and tasks. These commands take the following form:

$ celery -A celery_runner <command>

The main tasks to view the status of your workers are as follows:

  • status: This prints the running workers and if they are up.
  • result: When passed a task ID, this shows the return value and final status of the task.
  • purge: Using this, all messages in the broker will be deleted.
  • inspect active: This lists all active tasks.
  • inspect scheduled: This lists all tasks that have been scheduled with the eta argument.
  • inspect registered: This lists all of the tasks waiting to be processed.
  • inspect stats: This returns a dictionary...