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Mastering Python Networking

You're reading from   Mastering Python Networking Your one-stop solution to using Python for network automation, programmability, and DevOps

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781839214677
Length 576 pages
Edition 3rd Edition
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Author (1):
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Eric Chou Eric Chou
Author Profile Icon Eric Chou
Eric Chou
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Toc

Table of Contents (18) Chapters Close

Preface 1. Review of TCP/IP Protocol Suite and Python 2. Low-Level Network Device Interactions FREE CHAPTER 3. APIs and Intent-Driven Networking 4. The Python Automation Framework – Ansible Basics 5. The Python Automation Framework – Beyond Basics 6. Network Security with Python 7. Network Monitoring with Python – Part 1 8. Network Monitoring with Python – Part 2 9. Building Network Web Services with Python 10. AWS Cloud Networking 11. Azure Cloud Networking 12. Network Data Analysis with Elastic Stack 13. Working with Git 14. Continuous Integration with Jenkins 15. Test-Driven Development for Networks 16. Other Books You May Enjoy
17. Index

Search with Elasticsearch

We need more data in Elasticsearch to make the search and graph more interesting. I would recommend reloading a few of the lab devices to have the log entries for interface resets, BGP and OSPF establishments, as well as device boot up messages. Otherwise, feel free to use the sample data we imported at the beginning of this chapter for this section.

If we look back at the Chapter12_2.py script example, when we did the search, there were two pieces of information that could potentially change from each query; the index and query body. What I typically like to do is to break that information into input variables that I can dynamically change at runtime to separate the logic of the search and the script itself. Let's make a file called query_body_1.json:

{
  "query": {
    "match_all": {}
  }
}

We will create a script, Chapter12_3.py, that uses argparse to take the user input at the command line:

import...
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