Book Image

Python Programming Blueprints

By : Daniel Furtado, Marcus Pennington
Book Image

Python Programming Blueprints

By: Daniel Furtado, Marcus Pennington

Overview of this book

Python is a very powerful, high-level, object-oriented programming language. It's known for its simplicity and huge community support. Python Programming Blueprints will help you build useful, real-world applications using Python. In this book, we will cover some of the most common tasks that Python developers face on a daily basis, including performance optimization and making web applications more secure. We will familiarize ourselves with the associated software stack and master asynchronous features in Python. We will build a weather application using command-line parsing. We will then move on to create a Spotify remote control where we'll use OAuth and the Spotify Web API. The next project will cover reactive extensions by teaching you how to cast votes on Twitter the Python way. We will also focus on web development by using the famous Django framework to create an online game store. We will then create a web-based messenger using the new Nameko microservice framework. We will cover topics like authenticating users and, storing messages in Redis. By the end of the book, you will have gained hands-on experience in coding with Python.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Dedication
Contributors
Packt Upsell
Preface
Index

Retrieving all messages


Similar to our previous steps, we will need to add a new method to our Redis dependency in order to add more functionality. This time, we will be creating a method that will iterate through all of our keys in Redis and return the corresponding messages in a list.

Adding a get all messages method to our Redis client

Let's add the following to our RedisClient:

def get_all_messages(self): 
    return [ 
        { 
            'id': message_id, 
            'message': self.redis.get(message_id) 
        } 
        for message_id in self.redis.keys() 
    ] 

We start off by using self.redis.keys() to gather all keys that are stored in Redis, which, in our case, are the message IDs. We then have a list comprehension that will iterate through all of the message IDs and create a dictionary for each one, containing the message ID itself and the message that is stored in Redis, using self.redis.get(message_id).

Note

For large scale applications in a production environment, it is...