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Network Automation Cookbook

You're reading from   Network Automation Cookbook Proven and actionable recipes to automate and manage network devices using Ansible

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789956481
Length 482 pages
Edition 1st Edition
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Author (1):
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Karim Okasha Karim Okasha
Author Profile Icon Karim Okasha
Karim Okasha
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Toc

Table of Contents (15) Chapters Close

Preface 1. Building Blocks of Ansible 2. Managing Cisco IOS Devices Using Ansible FREE CHAPTER 3. Automating Juniper Devices in the Service Providers Using Ansible 4. Building Data Center Networks with Arista and Ansible 5. Automating Application Delivery with F5 LTM and Ansible 6. Administering a Multi-Vendor Network with NAPALM and Ansible 7. Deploying and Operating AWS Networking Resources with Ansible 8. Deploying and Operating Azure Networking Resources with Ansible 9. Deploying and Operating GCP Networking Resources with Ansible 10. Network Validation with Batfish and Ansible 11. Building a Network Inventory with Ansible and NetBox 12. Simplifying Automation with AWX and Ansible 13. Advanced Techniques and Best Practices for Ansible 14. Other Books You May Enjoy

Validating network states with pyATS and Ansible

In this recipe, we will outline how to use Ansible and the Cisco pyATS Python library to execute and parse operational commands on Cisco devices. Using these parsed commands, we can validate various aspects of the network.

Getting ready

This recipe assumes that the network has already been built and configured as outlined in all the previous recipes.

How to do it...

  1. Install the Python libraries needed for pyATS:
$ sudo pip3 install pyats genie
  1. Create the roles directory and then create the requirements.yml file with the following data:

$ cat roles/requirements.yml
- src: https://github.com/CiscoDevNet/Ansible-pyats
scm: git
name: Ansible-pyats
  1. Install the Ansible-pyats role as shown in the following code:
 $ Ansible-galaxy install -r requirements.yml
  1. Create a new playbook called pb_validate_pyats.yml and populate it with the following task to collect the ospf neighbor from the wan devices.
---
- name: Network Validation with pyATS
hosts: wan
roles:
- Ansible-pyats
vars:
Ansible_connection: local
tasks:
- pyats_parse_command:
command: show ip ospf neighbor
register: ospf_output
vars:
Ansible_connection: network_cli
  1. Update the playbook with the following tasks to extract the data for OSPF peer information:
      - name: "FACT >> Pyats OSPF Info"
set_fact:
pyats_ospf_data: "{{ ospf_output.structured.interfaces }}"

- name: " FACT >> Set OSPF peers"
set_fact:
OSPF_PEERS: "{{ wan_l3_links[inventory_hostname] | selectattr('ospf','equalto',true) | list }}"
  1. Update the playbook with the following tasks to validate OSPF peers and the OSPF peer state:
      - name: Validate Number of OSPF Peers
assert:
that:
- pyats_ospf_data | length == OSPF_PEERS | length
loop: "{{ OSPF_PEERS }}"

- name: Validate All Peers are in Full State
assert:
that:
- pyats_ospf_data[item.name] | json_query('neighbors.*.state') | first == 'FULL/ -'
loop: "{{ OSPF_PEERS }}"

How it works...

In this recipe, we are exploring how to use the pyATS framework to perform network validation. pyATS is an open source Python library developed by Cisco as a testing framework for network testing. Genie is another Python library that provides parsing capabilities for transforming CLI-based output to Python data structures that we can consume in our automation scripts. Cisco released an Ansible role that uses the pyATS and Genie libraries. Within this role, there are multiple modules that we can use in order to build more robust Ansible validation playbooks to validate the network state. In order to start working with this role, we need to perform the following steps:

  1. Install pyats and enie Python packages using python-pip.
  2. Install the Ansible-pyats role using Ansible-galaxy.

In this recipe, we are using one of the modules within the Ansible-pyats role, which is pyats_parse_command. This module executes an operational command on the remote managed device and returns both the CLI output for this command and the parsed structured output for this command. The following code snippet outlines the structured data returned by this module for ip ospf neigbor on the wan01 device:

"structured": {
"interfaces": {
"GigabitEthernet2": {
"neighbors": {
"10.100.1.1": {
"address": "10.3.1.1",
"dead_time": "00:00:37",
"priority": 0,
"state": "FULL/ -"
}
}
}
}
}

We save the data returned by this module to the ospf_output variable and we use the set_fact module to capture the structured data returned by this module, before saving it to a new variable – pyats_ospf_data. Then, we use the set_fact module to filter the links defined in wan_l3_interfaces to just the ports that are enabled for OSPF.

Using the structured data returned by pyats_parse_command, we can validate this data and compare it with our OSPF peer definition using the assert module so as to validate the correct number of OSPF peers and their states.

To extract the OSPF peer state, we use the json_query filter to filter the returned data and provide just the OSPF state for each neighbor.

We are setting Ansible_connection to local on the play level, and setting it to network_cli on the pyats_parse_command task level, since we only need to connect to the device in this task. All the other tasks can run locally on the Ansible machine.

See also...

You have been reading a chapter from
Network Automation Cookbook
Published in: Apr 2020
Publisher: Packt
ISBN-13: 9781789956481
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