create a virtual environment
python3 -m venv './venv'activate it
source venv/bin/activate.fishinitialize a poetry project
poetry initinstall django and hte latest version of djongo as well as graphene-django
poetry add django
poetry add git+ssh://[email protected]:nesdis/djongo.git
poetry add graphene-djangocreate a django project with
django-admin startproject app .create a new tracks app
python manage.py startapp tracksdefine your model, then include your app in settings and make migrations
python manage.py makemigrations
python manage.py migratespin up the server
python manage.py runserver 0:4000pull mongo image
docker pull mongostart mongo instance
docker run -it -v mongodata:/data/db -p 27017:27017 --name mongodb -d mongodouble check, that it is running
docker pscheck logs if necessary
docker logs mongodb -fcheck into container
docker exec -it mongodb bashconnect to mongo, simply by running mongo
mongo -host localhost -port 27017stop or start container
docker stop mongodb
# or
docker start mongodbIf you prefer some gui data visualization, than you can install MongoDB Compass
sudo dpkg -i ~/Downloads/mongodb-compass_1.26.0_amd64.deb
open up django shell
python manage.py shellcreate new data
from tracks.models import Track
track1 = Track(title='Track 1', description='Track 1 description', url='https://localhost/track1')
track1.save()
# or
track2 = Track.objects.create(title='Track 2', description='Track 2 description', url='https://localhost/track2')export data from app's database
python manage.py dumpdata --indent 2 tracks > tracks/fixtures/tracks.jsonLoad data based on matching fixture file name tracks.json
python manage.py loaddata tracksfrom django.contrib.auth.models import User
user=User.objects.create_user('foo', password='bar')
user.is_superuser=True
user.is_staff=True
user.save()python manage.py createsuperuser
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