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Automation to Create Dynamic Attributes in IP Fabric

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Project description

IP Fabric Dynamic Attributes

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.

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