bank-green/bankgreen-django

Bank Green Django App

This is a python django application for cataloging and creating environmental ratings of worldwide banks.

Data is harvested from a variety of "data sources." Datasources are then associated with "brands." One brand may be comprised of zero, one, or many data sources.

Installation and Development

This project uses python 3.10. You will need to install "pip" (the python package management system) and "virtualenv" (a python virtual environment manager) to your system. You can install virtualenv like: sudo -H pip3 install virtualenv

Creating a virtual environment <venv>

virtualenv <venv>

Activating the virtual environment

source <venv>/bin/activate

Installing packages

pip install -r requirements.txt

Deactivating the virtual environment

deactivate

Environment variables

There's an .env file in the same path as settings.py where all environment variables are and should be placed. You should call them in settings.py and then import them like settings.KEYWORD

cp bankgreen/.env.template bankgreen/.env

Database

To setup the database, you must run migrations, add sample data by installing the initial fixture and download a list of countries and regions:
python manage.py migrate
python manage.py loaddata fixtures/initial/initial.json
python manage.py cities_light

Then create a superuser:
python manage.py createsuperuser

Django commands

python manage.py migrate
python manage.py createsuperuser
python manage.py collectstatic
python manage.py refresh_datasources banktrack --local all
python manage.py cities_light # refresh country/region database
python manage.py runserver

Nginx and Gunicorn userful commands

sudo systemctl stop/start/restart nginx
sudo nginx -t
sudo tail -F /var/log/nginx/error.log

sudo systemctl status gunicorn.socket
sudo systemctl start gunicorn.socket
sudo systemctl enable gunicorn.socket
sudo journalctl -u gunicorn.socket

Refreshing Data

Updating initial fixture

This assumes that only the data wanted for the initial fixture is in the current database. To update the initial fixture, run python3 manage.py dumpdata --indent 4 > fixtures/initial/initial.json. Remove internal django model entries from initial.json added to the database by running python fixtures/initial/remove_django_internals.py script. Specifically, this means any entries for the 'django_content_type' table, which has a UNIQUE constraint on it's fields, but more generally, refers to any internal Django tables not explicitly defined in the various models.

Updating cities_light fixtures

django dumpdata cities_light.Subregion --indent 4 > fixtures/citieslight/subregion.json

Refresh datasources from API

# python manage.py refresh_datasources [DATASOURCE_NAME]
# i.e.
python manage.py refresh_datasources banktrack
# or
python manage.py refresh_datasources all

Refresh datasources from local

# python manage.py refresh_datasources [DATASOURCE_NAME] --local [DATASOURCE_NAME]
# i.e.
python manage.py refresh_datasources banktrack --local banktrack

Suggest Associations between brands and datasources

This is currently only implemented for USNIC datasources. Running may take between 1 and 10 minutes

django manage.py suggest_associations

Rate limit in Nginx

Rate limit for endpoint /graphql is 10 request/sec for every IP. To disable it do: sudo nano etc/nginx/sites-available/bankgreen and comment out or delete this part:

location /graphql {
        limit_req zone=ddos_limit;
        limit_req_status 429;
        include proxy_params;
        proxy_pass http://unix:/home/django/gunicorn.sock;
    }

limit_req_zone $binary_remote_addr zone=ddos_limit:10m rate=10r/s; This is the part where ddos_limit is defined.

Then restart Nginx and Gunicorn: sudo systemctl restart nginx && sudo systemctl restart gunicorn