Table of Contents

• Table of Contents
• Goal
• Prerequisites
• Final Workflow
• R ans Python Script
• Creating and Filling out
• Connection
• Running
• Results

Goal

Run R and Python scripts in parallel inside KadiStudio.

Important note: The R and python scripts already contain the path where output files are saved.

Prerequisites

• KadiStudio is installed and running.

  • See: Installation Guide

• Tools are downloaded and available.

  • See: in progress

• You are familiar with Built-in Nodes and Environment Nodes.

  • See: KadiStudio: FAIR Modelling of Scientific Research Processes (Article)

• You already have the R script (r_script.R).

• R is installed.
• Python 3 is installed.
• (Optional) Required Python libraries (pandas, numpy) are installed or available via a virtual environment.

Final Workflow

The figure below shows the final layout of the workflow.

R ans Python Script

The image below shows the contents of the scripts used in this tutoria

The R and Python scripts already contain the path where output files are saved.

Creating and Filling out

1- [Node 1, 4] - Add a workflow-nodes misc run-script Node

• Where to read more:

  https://workflow-nodes.readthedocs.io/en/stable/usage/cli.html#workflow-nodes-misc-run-script

• How:

  • In the workspace, right-click and from Add tool (Top), search run and select workflow-nodes misc run-script (Bottom).

2- Add and fill out Source Text Nodes (Variables)

• How:

  • In the workspace, right-click and select Add Source → String (2, 3, 5, 6).

• Node 2 and 5 : File path of the scripts. (Mandatory)
• Node 3 and 6 : Interpreters(Mandatory, Rscript is designed to execute R scripts non-interactively).

Connection

• Pay attention to the ports colors.
  • Strings (light green)

Running

1- Save the workflow by pushing Play button.

2- Start running the workflow by using Start button.

3- Status: Finished

4- The file is stored at the specified path.

Results

The figure below shows the results.

Done.