ljpendergrass / go3 Goto Github PK

Tools to help a Honk band manage itself!

Features:

• Multiple band support - each member is associated with one or more bands
• Multiple instrument support - each member can play more than one instrument
• Calendar view & integration with popular calendar services
• Email updates

This project is targeted at Python 3.12, and the minimum supported version is Python 3.10. The development environment uses Docker to make installing Postgres easier. Install Docker Desktop before continuing.

1. Create Python sandbox

       cd GO3 # the place you checked out the source for Gig-O-Matic 3
   python3 -mvenv .venv
   source .venv/bin/activate
   

2. Install required Python packages:

   pip install -r requirements.txt
   

3. Use the default environment

   ln -s go3/.env.example go3/.env # Optional: copy instead and edit the file to taste
   

4. Start the DB engine

   docker compose up -d db
   sleep 30 # wait for DB to finish initializing
   

5. Run the migrations

   python manage.py migrate
   

6. OPTIONAL: Fill database with sample data

   python manage.py loaddata fixtures/testdata.json
   

7. Create an administrative user

   python manage.py createsuperuser
   

8. Launch Gig-O! At this point, you should be able to run the project locally:

   python manage.py runserver
   

   You can log in with the user created above.

9. OPTIONAL: Start the task queue Certain actions kick off activities that run in the background, using DjangoQ to manage the queue. This runs concurrently, so kick it off in a separate shell. You should see the tasks come and go in the DjangoQ section of the admin pages.

   python manage.py qcluster
   

10. OPTIONAL: set up the scheduled tasks Some tasks - like updating calendar feeds, archiving gigs, send snooze reminders - require repeating events to be scheduled in DjangoQ. This should only be done once - check the DjangoQ "scheduled tasks" page to see the events that have been set up.

    python manage.py schedule_tasks
    

We use sqlite3 for the test suite for now

python manage.py collectstatic
DATABASE_URL="sqlite:///gig-o-matic-test.sqlite" python manage.py test

To test the GraphQL endpoint, run the project locally and navigate to http://127.0.0.1:8000/graphql in your browser.

Queries in the GUI are formatted as such:

query {
	allBands {
		band {
      		name,
		  	hometown,
		  	creation_date
		}
	}
}

We are converting the project to autopep8.

Django-Q is used as a task queue, and the default setting uses the standard database as a broker. Tasks can be serialized into the database without any additional configuration. However, a separate process is used to run these items in the queue. This can be launched with

python manage.py qcluster

You can cause tests to run synchronously by setting 'sync': True in the Q_CLUSTER settings.