SPL To KQL Application

Watsonx demo application for generating Kusto Query Language from Splunk Search Processing Language

Steps to setup application

Requires python3 development tools to already be installed

1. Go to the root directory and prepare your python environment.

   python3 -m venv client-env

2. Activate the virtual environment:

   • MacOS, Linux, and WSL using bash/zsh

   source client-env/bin/activate

   • Windows with CMD shell

   C:> client-env\Scripts\activate.bat

   • Windows with git bash

   source client-env/Scripts/activate

   • Windows with PowerShell

   PS C:> client-env\Scripts\Activate.ps1

   if there is an execution policy error, this can be changed with the following command

   PS C:> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

3. Install the required libraries.

   pip3 install -r requirements.txt

4. Provide Environment variables.

   # For LLM call
   WATSONX_API_KEY = <api_key>
   # Also for SERVER_URL from your watson instance.

5. Run the application.

   python3 template.py

You can now access the application from your browser at the following URL.

http://localhost:8057