# 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:
```bash
pip install ipf_dynamic_attributes
```
If you would like to output reports in Excel format, you can also install the `xlsxwriter` package:
```bash
pip install ipf_dynamic_attributes[excel]
```
## Documentation
Please refer to the [IP Fabric Dynamic Attributes Documentation](https://docs.ipfabric.io/main/integrations/dynamic-attributes/)
for detailed usage instructions, configuration examples, and advanced features.
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