Statistical Algorithms Importer: Pre-Installed Project

This page explains how to create a Pre-Installed project using Statistical Algorithms Importer (SAI) portlet.

Pre-Installed Project, SAI

Project Configuration

Define project's metadata

Pre-Installed Info, SAI

Add input and output parameters and click on "Set Code" to indicate the main file to execute (i.e. the .sh file)

Pre-Installed I/O, SAI

Add information about the running environment (e.g. Linux OS version etc.)

Pre-Installed Interpreter, SAI

After the software creation phase a Main.R file and a Taget folder are created

Pre-Installed Create, SAI

Example Download

File:PreInstBlackBox.zip

Inheritance of Global and Infrastructure Variables

At each run of the process the globalvariables.csv file is created locally to the process (i.e. it can be read as ./globalvariables.csv), which contains the following global variables that are meant to allow the process to properly contact the e-Infrastructure services:

• gcube_username (the user who run the computation, e.g. gianpaolo.coro)

• gcube_context (the VRE the process was run in, e.g. d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab)

• gcube_token (the token of the user for the VRE, e.g. 1234-567-890)

The format of the CSV file is like the one of the following example:

globalvariable,globalvalue
gcube_username,gianpaolo.coro
gcube_context,/d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab
gcube_token,1234-567-890