SEEDS stands for Stakeholder-Based Environmentally-sustainable And Economically Doable Scenarios for the Energy Transition
In the SEEDS project a consortium of four European institutions is building an approach to integrate humans into energy transition scenario design, while accurately modelling the relevant technical, economic and environmental constraints. Doing so involves methodological development, software development and implementation, and experimentation with a pilot study in Portugal. This work is done in a focused consortium of four partners:
ETHZ
is a leading centre of high-resolution energy system modellingICTA-UAB
is a leading centre in the development of integrated sustainability assessment methodsTLU
provides expertise in participatory design of trustworthy interactive systemsFC.ID
contributes its unique expertise combining modelling with participatory action research.
The SEEDS repository has the following structure.
|
|____locale
|____db.sqlite3
|____register
|____static
|____scripts
|____seeds_bootstrap
|____requirement.txt
|____templates
|____manage.py
|____Expl.ipynb
locale
directory contains English-Portuguese translation files.db.sqlite3
file is the database of the app using sqlite3.register
directory contains code that handles sign-in and sign-up functionalities.static
directory containscss
andjs
files.scripts
directory contains the script to populate seeds db.seeds_bootstrap
directory contains the source code of the seeds app (e.g., views, models)templates
directory contains html template file for the app.Expl.ipynb
is a jupyter notebook containing the preprocessing of SEEDS original dataset files.
The following steps offer guidelines on setting up & running SEEDS app on a local machine.
git clone https://github.com/centre-for-educational-technology/Seeds_bootstrap
cd Seeds_bootstrap
pip install -r ./requirement.txt
python3 manage.py makemigrations
python3 manage.py migrate --run-syncdb
The seeds dataset comprises multiple CSV files which were processed to store in the database. To populate the database with SEEDS data, we will use a script loadAll.py
available in the scripts
directory. The following command performs the loading of data into the SEEDS database.
python3 manage.py shell < ./scripts/loadAll.py
The following command creates an admin user account.
python3 manage.py createsuperuser
Everything is set now to run the server.
python3 manage.py runserver
MIT License
Copyright (c) 2024
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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