/geodashboard

Demonstation project using GeoDjango and Docker

Primary LanguagePythonMIT LicenseMIT

geodashboard

Demonstration Project For GeoDjango Dashboards

Built with Cookiecutter Django Black code style

License: MIT

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:

    $ 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:

$ mypy geodashboard

Test coverage

To run the tests, check your test coverage, and generate an HTML coverage report:

$ coverage run -m pytest
$ coverage html
$ open htmlcov/index.html

Running tests with pytest

$ 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:

cd geodashboard
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:

cd geodashboard
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):

cd geodashboard
celery -A config.celery_app worker -B -l info

Deployment

The following details how to deploy this application.

Docker

See detailed cookiecutter-django Docker documentation.