ReEnAct

Regionale Energiewende aktiv gestalten

License: MIT

Settings

Moved to settings.

Installation

Docker

Build dev container with

docker-compose -f local.yml up -d --build

or for production (requires manual creation of .envs/.production/.django):

docker-compose -f production.yml up -d --build

Local

1. Clone repo, setup virtual environment and install dependencies

first:

git clone git@github.com:rl-institut/ReEnAct_web.git
cd ReEnAct_web

then set up your virtualenvironment with virtualenv (works well with python version 3.12) and then install dependencies with uv (should be faster):

virtualenv reenact_venv
source reenact_venv/bin/activate
pip install uv
uv pip install -r ./requirements/local.txt

OR use uv (documentation) for your virtual environment as well and then for installing dependencies:

pip install uv
uv venv reenact_venv --python 3.12
source reenact_venv/bin/activate
uv pip install -r ./requirements/local.txt

you can also use conda for setting up the venv, but it might cause problems with celery.

2. Setup local PostgreSQL server and configure using pgadmin4 (Linux)

• Install: sudo apt install postgresql pgadmin4 (only if not already installed)
• Start pgadmin4
  • Create database "reenact_webapp"
  • Create user "reenact_user" with some password, e.g. "my_reenact_user_pass"
• Grant write permissions to this DB for the user
• Activate postGIS via SQL query: CREATE EXTENSION postgis;

3. Create .env file with the following content

# General
# ------------------------------------------------------------------------------
USE_DOCKER=yes
IPYTHONDIR=/app/.ipython
# Redis
# ------------------------------------------------------------------------------
REDIS_URL=redis://redis:6379/0

# Celery
# ------------------------------------------------------------------------------

CELERY_BROKER_URL=redis://redis:6379/0

# Flower
CELERY_FLOWER_USER=dVSdYOthZmldNnHOnGLAgKhnETvRbOXs
CELERY_FLOWER_PASSWORD=YbGI8ju9tsiODB0ACmcEGC1yMoOe3BI51PwV8niA6AH6oXLPMQ6Fahc3NWFHaQlK

# PostgreSQL
# ------------------------------------------------------------------------------
POSTGRES_HOST=postgres
POSTGRES_PORT=5432
POSTGRES_DB=reenact_webapp
POSTGRES_USER=reenact_user
POSTGRES_PASSWORD=my_reenact_user_pass

DATABASE_URL=postgres://reenact_user:my_reenact_user_pass@localhost:5432/reenact_webapp

(make sure you use the same password in POSTGRES_PASSWORD as in step 2)

4. Activate the .env file

Run export DJANGO_READ_DOT_ENV=True; - ff this fails, try source .env

Activate pre-commit:

pre-commit install

5. Migrate and start app

python manage.py migrate
python manage.py runserver

Add dependencies

This can be done in requirements/ folder by adding dependency to related *.in file and compile/lock dependencies. Via uv (you must install uv first - recommended!):

uv pip compile -o requirements/local.txt requirements/local.in
uv pip compile -o requirements/production.txt requirements/production.in

or via pip-compile (you must install pip-tools first):

pip-compile -o requirements/local.txt requirements/local.in
pip-compile -o requirements/production.txt requirements/production.in

Basic Commands

Setting Up Your Users

• To create a normal user account, just go to Sign Up and fill out the form. Once you submit it, you'll see a "Verify Your E-mail Address" page. Go to your console to see a simulated email verification message. Copy the link into your browser. Now the user's email should be verified and ready to go.

• To create a superuser account, use this command:

  $ python manage.py createsuperuser
  

For convenience, you can keep your normal user logged in on Chrome and your superuser logged in on Firefox (or similar), so that you can see how the site behaves for both kinds of users.

Type checks

Running type checks with mypy:

$ mypy reenact

Test coverage

To run the tests, check your test coverage, and generate an HTML coverage report:

$ coverage run -m pytest
$ coverage html
$ open htmlcov/index.html

Running tests with pytest

$ pytest

Live reloading and Sass CSS compilation

Moved to Live reloading and SASS compilation.

Celery

This app comes with Celery.

To run a celery worker:

cd reenact
celery -A config.celery_app worker -l info

Please note: For Celery's import magic to work, it is important where the celery commands are run. If you are in the same folder with manage.py, you should be right.

To run periodic tasks, you'll need to start the celery beat scheduler service. You can start it as a standalone process:

cd reenact
celery -A config.celery_app beat

or you can embed the beat service inside a worker with the -B option (not recommended for production use):

cd reenact
celery -A config.celery_app worker -B -l info

Sentry

Sentry is an error logging aggregator service. You can sign up for a free account at https://sentry.io/signup/?code=cookiecutter or download and host it yourself. The system is set up with reasonable defaults, including 404 logging and integration with the WSGI application.

You must set the DSN url in production.

Deployment

The following details how to deploy this application.

Docker

See detailed cookiecutter-django Docker documentation.

Credits

Icons from Heroicons
© Tailwind Labs, MIT License
https://github.com/tailwindlabs/heroicons