This code base represents a point-in-time implementation of a portal implementing the Modern Research Data Portal pattern.
It is no longer recommended as a starting point for building a portal, but is still available as a reference.
See https://github.com/globus/sample-data-portal for our current recommendations.
A Python (Flask-based) web application demonstrating how to build a Modern Research Data Portal using the Globus platform.
This repository contains two separate server applications. The first, the "portal," is an example "research portal"
that demonstrates how to authenticate users with Globus Auth, how to make requests against the Globus Transfer API, and how to interact with an HTTPS-enabled Globus collection. All of the portal code can be found in the portal/
directory.
The second application, the "Service," is an example "resource server" that demonstrates how a research portal can offload tasks to a separate service that has the capability to perform tasks on behalf of users. All of the Service code can be found in the service/
directory.
Note
: Both applications are configured with client credentials created for demo purposes only.
The Globus Sample Data Portal requires Python 3.9 or newer.
- Register an Application with Globus
- When registering the App you'll be asked for some information, including the redirect URL and any scopes you will be requesting.
- Redirect URL:
https://localhost:5000/authcallback
(note: if using EC2localhost
should be replaced with the IP address of your instance). - Scopes:
urn:globus:auth:scope:transfer.api.globus.org:all
,openid
,profile
,email
- Redirect URL:
- After creating your App the client id and secret can be copied into this project in the following two places:
portal/portal.conf
in thePORTAL_CLIENT_ID
andPORTAL_CLIENT_SECRET
properties.service/service.conf
where thePORTAL_CLIENT_ID
is used to validate the access token that the Portal sends to the Service.
- Install python3
git clone https://github.com/globus/globus-sample-data-portal
cd globus-sample-data-portal
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
./run_portal.py
- point your browser to
https://localhost:5000
./run_service.py
- API is located at
https://localhost:5100/api
sudo apt-get update
sudo apt-get install python3-pip
sudo pip install virtualenv
sudo apt-get install git
git clone https://github.com/globus/globus-sample-data-portal
cd globus-sample-data-portal
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
./run_portal.py
- point your browser to
https://localhost:5000
./run_service.py
- API is located at
https://localhost:5100/api
- Install Python3 (https://www.python.org/downloads/windows/)
pip install virtualenv
- Install git (https://git-scm.com/downloads)
git clone https://github.com/globus/globus-sample-data-portal
cd globus-sample-data-portal
virtualenv venv
venv\Scripts\activate
pip install -r requirements.txt
python run_portal.py
- point your browser to
https://localhost:5000
python run_service.py
- API is located at
https://localhost:5100/api
git clone https://github.com/globus/globus-sample-data-portal
cd globus-sample-data-portal
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
sed -i 's/localhost/0.0.0.0/' run_portal.py
sed -i '4,//s/localhost/YOUR_IP/' portal/portal.conf
echo "SESSION_COOKIE_DOMAIN = 'YOUR_IP'" >> portal/portal.conf
./run_portal.py
- point your web browser to
https://YOUR_IP:5000/
./run_service.py
- API is located at
https://localhost:5100/api
Deploying and fully configuring Nginx is out of scope of this document. However, if you wish to use Nginx as a reverse proxy, you can use the location block below:
location / {
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Forwarded-Prefix /;
proxy_pass https://localhost:5000/;
}