A disease surveillance dashboard with predictive trend analysis for early warning of communicable diseases in Greater Accra.
# Disease Surveillance Dashboard
Disease surveillance dashboard with predictive trend analysis for early warning of communicable diseases in Greater Accra.
License: BSD
## Settings
Moved to settings.
## 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:
uv run 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:
uv run mypy disease_surveillance_dashboard
### Test coverage
To run the tests, check your test coverage, and generate an HTML coverage report:
uv run coverage run -m pytest
uv run coverage html
uv run open htmlcov/index.html
#### Running tests with pytest
uv run 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:
```bash
cd disease_surveillance_dashboard
uv run 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:
```bash
cd disease_surveillance_dashboard
uv run 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):
```bash
cd disease_surveillance_dashboard
uv run celery -A config.celery_app worker - …