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

Unit-testing a Nameko microservice


According to the documentation, http://url.marcuspen.com/nameko, Nameko is:

"A microservices framework for Python that lets service developers concentrate on application logic and encourages testability."

We will now focus on the testability part of Nameko; it provides some very useful tools for isolating and testing its services.

Create a new folder, tests, and place two new files inside, __init__.py (which can be left blank) and test_service.py:

from nameko.testing.services import worker_factory 
from temp_messenger.service import KonnichiwaService 
 
def test_konnichiwa(): 
    service = worker_factory(KonnichiwaService) 
    result = service.konnichiwa() 
    assert result == 'Konnichiwa!' 

When running outside of the test environment, Nameko spawns a new worker for each entrypoint that is called. Earlier, when we tested our konnichiwa RPC, the Konnichiwa Service would have been listening for new messages on the Rabbit queue. Once it received a new message...