comses / miracle

Repeatable data analysis workflows for computational models
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Digging into Data: Mining relationships among variables in large datasets from complex systems

Setup

We use docker compose to organize MIRACLE's components. These consist of Docker images for the following:

First steps

Local development

Production configuration and deployment

Edit secrets manually

Build the images and spin up the docker containers

Loading Data

You can load the luxedemo.packrat.tar.gz and rhea.packrat.tar.gz from the miracle example projects github repository via the command line by downloading the packrat.tar.gz files into the django directory (this project's source tree is mapped to /code/ in the Django container by default) and performing the following steps:

% docker-compose exec django bash # login to the container
% cd django;
% ./manage.py load_project luxedemo.packrat.tar.gz --creator=<username> --project=luxedemo
% ./manage.py load_project rhea.packrat.tar.gz --creator=<username> --project=rhea

Status

Build Status Coverage Status Code Health