Python Scripts for Cisco Identity Services Engine (ISE)

Overview

Python Scripts for Cisco Identity Services Engine (ISE)

A set of Python scripts to configure a freshly installed Cisco Identity Services Engine (ISE) for simple operation; in my case, a basic Cisco Software-Defined Access environment.

Note: This repo is my second shot at automating ISE, and is mostly the same as my Ansible project in terms of functionality. I even used the same YAML settings files so you can use either method without any modification.

Features

These scripts will configure the following in ISE:

  • local user groups (01_add_groups.py)
  • local user identities (02_add_users.py)
  • a simple TACACS profile and command set for privilege 15 access (03_create_tacacs_profiles.py)
  • TACACS policies in the default policy set (05_create_tacacs_authz_policies.py)
  • Scalable Group Tags (SGT) to allow our authentication rules to work (06_create_sgts.py)
  • network access authorization rules to places users in the appropriate VLANs (wired and wireless) (08_create_authorization_profiles.py)
  • network access policies to authorize users and assign SGTs (09_create_authorization_policies.py)
  • a complete wired guest workflow with redirection, portal, and SGT(10_create_guest_authz_profiles.py & 11_create_guest_authz_policies.py)
  • Cisco access point profiling (using the wired guest flow) and authorization profiles (12_access_point_profiling.py)

The ISE resources that are configured with these scripts are enough to support a basic Cisco SD-Access network including:

  • TACACS authentication for network devices
  • dot1x authentication and authorization for multiple users
  • wired guest access
  • multiple Scalable Group Tags (SGTs)
  • Cisco access point profiling and authorization

Background

I administer a lab environment that is used to demonstrate Cisco Software-Defined Access for customers. When new versions of Cisco ISE or DNA Center are released, I do a fresh installation of both so that I can test the new versions with the lab workflow. This involves installing each piece of software and then configuring them both to the point where I can start going through the lab guide.

After watching a demo of the collections in this repo that use Terraform and Ansible to spin-up and configure ISE in AWS, I was inspired to setup something similar to assist in my configuration process when testing new versions.

I started with almost zero API experience beyond installing Postman on my workstation in the past and never using it. Prior to this project I had run exactly one Ansible playbook in my life, and that was six years ago. Needless to say, I was (and still am) completely green with this stuff, so it was a complete learning experience for me, especially not having a background in code or data structures.

Once I got the Ansible collection done, I decided to teach myself Python the hard way by converting everything into Python scripts. It was a challenge because I had zero Python experience, but I got it done in a couple of days with the help of Google.

As a bonus: You will notice some snark in the script comments as well, which stemmed from some frustrations that I ran into while learning. Some, but not all, of these comments were copied from the companion Ansible playbooks, because the frustrations were mostly the same.

Requirements

Server

Note: Some of these scripts may work with ISE 3.0, but 3.1 is required for the policy stuff.

Workstation

Quick Start

If you just want to see these in action, you can run them against a Cisco DevNet ISE 3.1 APIs, Ansible, and Automation sandbox instance without any customization:

Cisco ISE SDK:

sudo pip install ciscoisesdk

  • Reserve a sandbox in DevNet and connect to it per their instructions

  • In ISE, enable ERS and Open API settings in: Administration | Settings | API Settings | API Service Settings

ISE API Settings

  • Run the scripts one at a time like this:

$ python 01_add_groups.py

$ python 02_add_users.py

$ python 03_create_tacacs_profiles.py

  • You can verify the changes in the ISE GUI after each script if you're curious

Usage Notes

Although my use-case for these scripts involves a fresh deployment of ISE to support a Cisco SD-Access topology, they can absolutely be modified and used in a brownfield ISE environment without SDA.

I'm going to try to make the project self-documenting via comments as best I can, but here's a rough guide to get started:

credentials.yaml - Contains the ISE deployment information such as hostname, username, and password

groupsandusers.yaml - Contains the internal identity groups and users that will be configured by the scripts

policy.yaml - Contains the policy/profile information that will be configured by the scripts

Other ISE Settings

One day I will post a summary of some of the ISE settings that I change to make my life a little easier following an install. These settings will be pretty specific to a lab environment and not suggested for production.

TODO

  • better documentation
  • better optimization of the scripts
  • result feedback from the scripts
  • error checking and handling
  • clean up the scripts to match the Python style guide (Hi, Jose!)
  • add more optional fields to make this useful in the real world
  • redo this whole mess in Python before I retire (NOTE: I DID IT)

Acknowledgements

Google.

I also want to give a shoutout to the developers of the Cisco ISE SDK. It made things much much easier for me.

Questions?

Please open an issue if you have any questions or suggestions.

I developed these scripts for my own use, so I do want to keep them as clean as I can, but if you think they can be improved or optimized, feel free to submit a PR.

Owner
Roddie Hasan
Roddie Hasan
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