Book Image

Practical Network Automation

By : Abhishek Ratan
Book Image

Practical Network Automation

By: Abhishek Ratan

Overview of this book

Network automation is the use of IT controls to supervise and carry out every-day network management functions. It plays a key role in network virtualization technologies and network functions. The book starts by providing an introduction to network automation, SDN, and its applications, which include integrating DevOps tools to automate the network efficiently. It then guides you through different network automation tasks and covers various data digging and reporting methodologies such as IPv6 migration, DC relocations, and interface parsing, all the while retaining security and improving data center robustness. The book then moves on to the use of Python and the management of SSH keys for machine-to-machine (M2M) communication, all followed by practical use cases. The book also covers the importance of Ansible for network automation including best practices in automation, ways to test automated networks using different tools, and other important techniques. By the end of the book, you will be well acquainted with the various aspects of network automation.
Table of Contents (14 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Consuming the API in Python


Now, as we have the API created, let us see how to consume the API in Python.

The code is as follows:

import requests
r = requests.get('http://localhost/apitest/api/apitest/5')
print (r.json())

The output for the preceding code is as follows:

For API interaction, we use the requests library in Python. When we perform a call to the API, the API returns the string in JSON format. The r.json() method converts the returned JSON to extract the text value and displays the output as Hello World.

In a similar way, we can use the requests library to fetch API results from various web-based API calls. The result is generally in XML or JSON format, with JSON being the preferred return method for the API calls.

Let us see another example to fetch some more JSON from GitHub:

import requests
r = requests.get('https://github.com/timeline.json')
jsonvalue=r.json()
print (jsonvalue)
print ("\nNow printing value of message"+"\n")
print (jsonvalue['message']+"\n")

The output for the preceding...