Observatory Data Management Framework

This project provides a webinterface for managing scientific data measurement based on

cherrypy and postgres.

The concept was presented as a poster at the EGU GA 2017 (Vienna) by Kraft et al

Installation

Recommended installation in a docker-container

Go to the odmf-docker repository and follow the instructions there.

Installation in a virtual environment

While the docker installation in preferred, odmf can be installed in a python virtual environment for testing purposes

Install virtual environment in directory venv and upgrade infrastructure, and activate it

$ python3.9 -m venv venv
$ source venv/bin/activate
$ python -m pip install --upgrade pip wheel setuptools

Install odmf from here

$ pip install https://github.com/jlu-ilr-hydro/odmf/archive/master.zip

Check command line tool

$ odmf --help


$ pip install -e odmf-src
$ odmf --help
$ 

Change the config with the instructions from conf.py wiki page. When the configuration is edited to meet your requirements, start the server and browse to https://localhost:8080

$ python3 start.py

Visit the institute's homepage