IP Fabric Dynamic Attributes

This has been merged into to the IP Fabric Python SDK with the 7.5.2 release.

This repository is now deprecated. Please use the IP Fabric SDK for future support.

Automation to create Attributes dynamically in IP Fabric.

Overview

ipf_dynamic_attributes is a Python package designed to automate the creation and management of dynamic attributes in IP Fabric environments. It provides a flexible configuration system for defining rules, filters, and attribute mappings, enabling streamlined attribute synchronization and reporting.

Features

• Define dynamic attribute rules using YAML, JSON, TOML or Python configuration.
• Support for static and calculated attribute values, including regex extraction and value mapping.
• Support for regex-based searching of device configs.
• Flexible filtering for inventory and device data.
• Default dry-run mode for safe testing.
• Creates a pandas DataFrame for easy data manipulation and reporting.

Requirements

• Python 3.9+
• IP Fabric version 7.2 or higher
• IP Fabric SDK version 7.2 or higher

Installation

To install the ipf_dynamic_attributes package, you can use pip:

pip install ipf_dynamic_attributes

If you would like to output reports in Excel format, you can also install the xlsxwriter package:

pip install ipf_dynamic_attributes[excel]

Documentation

Please refer to the IP Fabric Dynamic Attributes Documentation for detailed usage instructions, configuration examples, and advanced features.