Nirav Madhani Nirav-Madhani

PDDL for Window Using Docker

Overview

Main Objective is to get around complexity associated with setting up FastDownward in Windows Machine. This batch script is designed to automate the execution of planning tasks using the Planning Domain Definition Language (PDDL) within a Docker environment. It uses the AI Basel 'downward' Docker container to process specified domain and problem files, and manages the entire workflow from execution to output retrieval.

Prerequisites

Docker must be installed on your machine.
Access to the AI Basel 'downward' Docker image must be ensured.

Usage

Source / demo not disclosed but can be demoed during live call along with screen share.

	/*
	Sources:
	https://stackoverflow.com/a/44558114/12907462
	https://gist.github.com/jamesramsay/9298cf3f4ac584a3dc05
	*/
	var TRIGGER_NAME = "auto_delete_email";

	function Intialize() {
	return;
	}

	// Note this is the beta version of the code which is under test,
	// no major problem found so far
	// Small Bug: Due to problem with timezone,
	// it is showing dates 1 day back as comapred to API Data
	// Full tutorial: https://nirav-madhani.netlify.app/post/github-stats-tracking/
	my_token = '<YourTokenHere>'

	function fetchTraffic(sheet){
	//var sheet = SpreadsheetApp.getActive().getSheetByName('Sheet1')//SpreadsheetApp.getActiveSheet();
	var unrm = sheet.getRange("G2").getValue()