workflowr.io

Setup computational environment

# Create the environmentconda env create --file environment.yml# Activate the environmentconda activate wio# Update the environmentconda env update --file environment.yml# Deactivate the environmentconda deactivate wio

Development

# Run the test suitepython manage.py test# Restart database for interactive testingbash setup-models.sh# Create a temporary superuser for testing the sitebash createsuperuser.sh# Run the development server (http://localhost:8000/)python manage.py runserver# Start an interactive shell with Django settings activatedpython manage.py shell

Heroku

# Install Heroku CLI appsudo snap install heroku --classic# Login (opens browser for authentication)heroku login# Run the development server (http://localhost:5000/)heroku local web# Add heroku remotegit remote add  heroku https://git.heroku.com/workflowr.git# Deploy the sitegit push heroku master# Open the site in the browserheroku open# View the server logsheroku logs --tail# View currently used resourcesheroku ps# Start an interactive shell on the remote serverheroku run python manage.py shell# Run the database migrations on the remote serverheroku run python manage.py migrate

Endpoints

Create a UML diagram of database schema

conda activate wiopython manage.py graph_models --pydot projects -o graph-model.png

Resources