Package for responsible business decision making
Project description
Model: the Responsible Business Simulator
Welcome to the open-source GitHub repository of the Responsible Business Simulator (tRBS) model based on the book. This model is available in Python package vlinder. This repo allows users to understand the framework and interact with the model, providing the opportunity to experiment, evaluate, and collaborate. The tRBS model is designed to simulate the impact of business decisions on sustainability and social responsibility. By open-sourcing the code, we promote transparency and invite contributions from researchers and practitioners.
In this repository
This repository contains
- A Jupyter notebook to work with the model in an interactive way
- The core functions of the tRBS model
- The following demo cases: beerwiser, DSM, IZZ and refugee case
Local set-up
Step 1: Connect with the repository. If you either need to set-up git and/or authenticate with GitHub, see GitHub's manual.
git clone https://github.com/responsible-business-decision-making/trbs.git
Step 2: Move inside the trbs
-folder and install all required dependencies with pipenv
. You might need to install pipenv
if you have
not used this before.
cd trbs
pip install pipenv
pipenv install
pipenv shell
Step 3: Configure the pre-commit file. This file helps you adhere to a clean coding style and checks amongst others for PEP8 violations.
pre-commit install
Step 4: Open the Jupyter notebook.
jupyter notebook
Step 5: Import Path in Jupyter notebook to retrieve input data of the cases.
from pathlib import Path
Step 6: Import theResponsibleBusinessSimulator model from the core folder.
from core.trbs import TheResponsibleBusinessSimulator
Step 7: Retrieve the path of the data folder. This folder contains the input data of the cases.
path = Path.cwd() / 'data'
Step 8: Specify the file format of the input data and the case you want to investigate. By default we use Beerwiser case in xlsx format.
file_format = 'xlsx'
name = 'beerwiser'
Step 9: Call the Responsible Business Simulator to investigate the case.
case = TheResponsibleBusinessSimulator(path, file_format, name)
(optional) A1: Create a new branch if you want to work on a new feature, bug or case.
git checkout -b 'NAME-OF-YOUR-BRANCH'
(optional) A2: Run all pytest
tests in the /model
folder.
cd model
python -m pytest
Vlinder package set-up
Step 1: Install required dependencies via pip install.
pip install pandas
pip install numpy
pip install openpyxl
pip install matplotlib
pip install xlsxwriter
Step 2: Install package vlinder.
pip install vlinder
Step 3: Install Jupyter notebook to work with the model in an interactive way.
pip install notebook
Step 4: Open the Jupyter notebook.
jupyter notebook
Step 5: Import required packages in Jupyter notebook to retrieve input data of the cases.
import os
from pathlib import Path
Step 6: Import package vlinder (abbreviated as vl) in Jupyter notebook.
import vlinder as vl
from vlinder import *
Step 7: Retrieve the path of the data folder from the package. This folder contains the input data of the cases.
path = Path(os.path.dirname(vlinder.__file__)) / 'data'
Step 8: Specify the file format of the input data and the case you want to investigate. By default we use Beerwiser case in xlsx format.
file_format = 'xlsx'
name = 'beerwiser'
Step 9: Call the Responsible Business Simulator to investigate the case.
case = TheResponsibleBusinessSimulator(path, file_format, name)
Code of Conduct
- Be kind
- Be welcoming
- Don't be a jerk
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