This is a follow along project from DjangoCon 21 with Dane Hillard.

I have been exploring GraphQL as the most viable framework for a complex relational memory structure. This type of memory structure would have (k) applications in real world data management and graphQL's easy endpoint is super enticing. This is a minimal example of a graph implementation.

I did modify the project as shared by Dane using some of my own best-practices. I used `python-dotenv` for storing secrets and also added an authentication layer in the query using the `info.context.user.is_authenticated` from `info` given to the query.

A few of these came through with other packages. The important packages to reference here are:

python-dotenv, psycopg2-binary and graphene-django

1. aniso8601==9.0.1
2. asgiref==3.6.0
3. Django==4.2
4. graphene==3.2.2
5. graphene-django==3.0.0
6. graphql-core==3.2.3
7. graphql-relay==3.2.0
8. promise==2.3
9. psycopg2-binary==2.9.6
10. python-dotenv==1.0.0
11. six==1.16.0
12. sqlparse==0.4.4
13. text-unidecode==1.3
14. tzdata==2023.3

  from pathlib import Path
  from dotenv import load_dotenv
  import os
  load_dotenv()

  DATABASES = {
    'default': {
    'ENGINE': 'django.db.backends.postgresql_psycopg2',
    'NAME': os.environ.get('DB_NAME'),
    'USER': os.environ.get('DB_USER'),
    'PASSWORD': os.environ.get('DB_PASSWORD'),
    'HOST': os.environ.get('DB_HOST'),
    'PORT': '',
    }
  }

I use Postgres for most projects.

  STATIC_URL = "/static/"
  # Set the STATIC_ROOT setting to a valid filesystem path where Django can collect static files
  STATIC_ROOT = os.path.join(BASE_DIR, 'collected_static')

  MEDIA_URL = '/media/'
  MEDIA_ROOT = os.path.join(BASE_DIR, 'static/media')

  STATICFILES_DIRS = [
    os.path.join(BASE_DIR, 'static')
  ]

  GRAPHENE = {
    "SCHEMA": "schema.schema",
  }