AM-D-Model Data Repository

Welcome to the modified InvenioRDM instance for the AM-D-Model data repository. This instance has been modified specifically for production ready, containerized deployment in an amazon AWS EC2 instance behind a reverse proxy. This allows it to be incorporated as part of a larger research project's website.

Getting started

Run the following commands in order to start the InvenioRDM instance:

invenio-cli containers build
./prepare-env.sh
docker compose -f docker-compose.full.yml up -d
rm .env # Cleanup for security reasons

Overview

Following is an overview of the files and folders in this instance:

Name	Description
Dockerfile	Dockerfile used to build your application image.
Pipfile	Python requirements installed via pipenv
Pipfile.lock	Locked requirements (generated on first install).
app_data	Application data such as vocabularies.
assets	Web assets (CSS, JavaScript, LESS, JSX templates) used in the Webpack build.
docker	Example configuration for NGINX and uWSGI.
docker-compose.full.yml	Example of a full infrastructure stack.
docker-compose.yml	Backend services needed for local development.
docker-services.yml	Common services for the Docker Compose files.
invenio.cfg	The Invenio application configuration.
logs	Log files.
prepare_env.sh	Creation of a .env file containing required secrets from AWS
static	Static files that need to be served as-is (e.g. images).
templates	Folder for your Jinja templates.
.invenio	Common file used by Invenio-CLI to be version controlled.
.invenio.private	Private file used by Invenio-CLI not to be version controlled.

Documentation

To learn how to configure, customize, deploy and much more, visit the InvenioRDM Documentation.