Kausal Paths

Kausal Paths is a tool for predicting the future emissions of cities based on historical emission data and various climate actions. Users can compare how emissions develop in different scenarios. Data is provided using a GraphQL API.

Installation

Development

In the project root directory, create and activate a Python virtual environment:

uv venv
source .venv/bin/activate

Install the required Python packages:

uv sync

If you have access to the Kausal private extensions, you should configure the PyPI index URL in your .envrc file:

export UV_INDEX_KAUSAL_USERNAME=...
export UV_INDEX_KAUSAL_PASSWORD=...

Then install the dependencies like this:

uv sync --extra kausal

If you need to run Jupyter notebooks, include the notebook dependency group:

uv sync --group notebook --extra kausal

Note for macOS users: If you run into issues installing python-snappy, install it separately first

brew install snappy
CPPFLAGS="-I/opt/homebrew/include -L/opt/homebrew/lib" pip install python-snappy

Create a file called local_settings.py in your repository root with the following contents:

from paths.settings import BASE_DIR

DEBUG = True

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql',
        'NAME': 'paths',
        'ATOMIC_REQUESTS': True,
    }
}

Run migrations:

python manage.py migrate

Create a superuser:

You might need the following translations during the createsuperuser operation: käyttäjätunnus = username, sähköpostiosoite = e-mail

python manage.py createsuperuser

Compile the translation files:

python manage.py compilemessages

You can now run the backend:

python manage.py runserver

The GraphQL API is now available at http://127.0.0.1:8000/v1/graphql/.