Ailola

Ailola is a command-line tool that uses OpenAI's GPT-3 to generate relevant prompts for infrastructure-as-code templates for Terraform and Kubernetes.

Installation

To install Ailola, run the following command:

https://github.com/lola-pola/ailola/actions/workflows/dependabot/badge.svg

This is a Python command-line application that utilizes OpenAI's Chat API to generate and validate Terraform HCL (HashiCorp Configuration Language) templates. It provides two main functionalities:

Terraform HCL Generation: Given a query, the application generates valid Terraform HCL templates. It can generate templates with or without provider information, depending on the specified provider.

Terraform HCL Validation: The application can validate existing Terraform templates and suggest security changes and Terraform-specific modifications.

Prerequisites Before running the application, make sure you have the following dependencies installed:

Demo

pip install ailola 

Python (version 3.8 or above) openai Python library click Python library colorama Python library You also need to set up an OpenAI API key and set the necessary environment variables:

OPENAI_API_KEY: Your OpenAI API key OPENAI_ENGINE: The OpenAI GPT-3.5 engine to use OPENAI_API_BASE: (Optional) The base URL for the OpenAI API (if using Azure API endpoint)

Installation

Clone this repository to your local machine:

$ git clone https://github.com/lola-pola/ailola.git
$ cd ailola

Install the required Python dependencies using pip:

$ pip install -r requirements.txt

Set the environment variables mentioned in the Prerequisites section.

Usage

The application provides a command-line interface with the following options:

$ python ailola.py --data <query> --validate <template_file> --provider <provider> --temperature <temperature>
--data: The query used to generate the Terraform HCL template.
--validate: (Optional) Path to an existing Terraform template file for validation.
--provider: (Required) The provider to use, either "azure" or any other provider.
--temperature: (Optional) The temperature for generating or validating the template (default: 1).

Examples

Generate a Terraform HCL template:

$ python app.py --data "Create a virtual machine"

Validate a Terraform template:

$ python app.py --validate path/to/template.tf --provider azure

Note: Make sure to replace path/to/template.tf with the actual path to your Terraform template file.

Output

The application will output the generated or validated Terraform HCL template in the console. The output will be color-coded for better visibility:

Generated template: Blue

Validation result: Yellow Make sure to review the output and use it accordingly in your Terraform infrastructure management.

Conclusion

This application leverages OpenAI's powerful language model to generate and validate Terraform HCL templates. It provides a convenient command-line interface to interact with the functionality. Feel free to customize and extend the application based on your specific requirements.