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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