lumis

This tool creates a JSON output that can be used as input for brilcalc.

It does so by accessing the Tracker workspace of the Run Registry via a custom Run Registry client. The website is deployed using OpenShift (CERN web services) and can be accessed via http://lumis.web.cern.ch/.

Currently only the Tracker workspace is supported.

Feel free to contribute by creating issues or pull requests.

Develop

Following steps need to be done to develop on this project:

Prerequisites

• Python 3.5 or Python 3.6
• Access to the CERN GPN

Clone the project

git clone https://github.com/ptrstn/lumis.git
cd lumis

Create virtual environment

python -m venv venv

Activate virtual environment

On Linux:

source venv/bin/active

On Windows:

venv\Scripts\active

Install requirements

pip install -r requirements.txt

Setup environment variables

You can generate a secret key with web tools like this.

Option 1:

Export DJANGO_SECRET_KEY environment variable

DJANGO_SECRET_KEY=&ij2_mx6*jw)zkpzdkejcyw(d!e-xo%*)ljq*_ozqjh^p^5-!v

Option 2 (recommended):

Create a .env file containing the environment variables

echo "DJANGO_SECRET_KEY=^4u&cx=kn24gjaw)(q2vw56tgnadyhok0!!pdjf38ndr5bajci" > .env

Make sure that you never commit the .env file, so that your secret key is not revealed.

Collect static files

python manage.py collectstatic

Rerun this command whenever you make changes to static files.

Run project

python manage.py runserver

The website can then be accessed locally at http://127.0.0.1:8000/

Links

• http://lumis.web.cern.ch/
• https://github.com/valdasraps/resthub
• https://github.com/ptrstn/python-runregistryclient
• https://docs.djangoproject.com/en/1.11/intro/tutorial01/