Book Image

Software Architecture with Python

By : Anand Balachandran Pillai
Book Image

Software Architecture with Python

By: Anand Balachandran Pillai

Overview of this book

This book starts by explaining how Python fits into an application's architecture. As you move along, you will get to grips with architecturally significant demands and how to determine them. Later, you’ll gain a complete understanding of the different architectural quality requirements for building a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will also use various techniques such as incorporating DevOps, continuous integration, and more to make your application robust. You will discover when and when not to use object orientation in your applications, and design scalable applications. The focus is on building the business logic based on the business process documentation, and understanding which frameworks to use and when to use them. The book also covers some important patterns that should be taken into account while solving design problems, as well as those in relatively new domains such as the Cloud. By the end of this book, you will have understood the ins and outs of Python so that you can make critical design decisions that not just live up to but also surpassyour clients’ expectations.
Table of Contents (18 chapters)
Software Architecture with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Waiting for a future – async and await


We discussed how one could wait for data from a future inside a co-routine using await. We saw an example that uses await to yield control to other co-routines. Let's now look at an example that waits for I/O completion on a future, which returns data from the web.

For this example, you need the aiohttp module which provides an HTTP client and server to work with the asyncio module and supports futures. We also need the async_timeout module which allows timeouts on asynchronous co-routines. Both these modules can be installed using pip.

Here is the code—this is a co-routine that fetches a URL using a timeout and awaits the future, that is, the result of the operation:

# async_http.py
import asyncio
import aiohttp
import async_timeout

@asyncio.coroutine
def fetch_page(session, url, timeout=60):
""" Asynchronous URL fetcher """

with async_timeout.timeout(timeout):
response = session.get(url)
return response

The following is the calling code with the event...