Catalogue service for spatial records over HTTP in the Department of Biodiversity, Conservation and Attractions.
The recommended way to set up this project for development is using Poetry to install and manage a virtual Python environment. With Poetry installed, change into the project directory and run:
poetry install
Activate the Poetry-managed virtualenv like so:
poetry shell
To run Python commands in the virtualenv, thereafter run them as normal:
python manage.py
Manage new or updating project dependencies with Poetry also, like so:
poetry add newpackage==1.0
This project uses environment variables (in a .env
file) to define application
settings. Required settings are as follows:
DATABASE_URL="postgresql://USER:PASSWORD@HOST:PORT/DATABASE_NAME"
SECRET_KEY="ThisIsASecretKey"
Use runserver
to run a local copy of the application:
python manage.py runserver 0:8080
Run console commands manually:
python manage.py shell_plus
The production system stores media uploads in Azure blob storage. Credentials for doing so should be defined in the following environment variables:
AZURE_ACCOUNT_NAME=name
AZURE_ACCOUNT_KEY=key
AZURE_CONTAINER=container_name
To bypass this and use local media storage (for development, etc.), set
the LOCAL_MEDIA_STORAGE=True
environment variable and create a writable
media
directory in the project directory.
To build a new Docker image from the Dockerfile
:
docker image build -t ghcr.io/dbca-wa/csw .