This projects contains the source code examples accompanying the blog post:

https://www.python-celery.com/2018/06/05/celery-django-docker/.

Docker and docker-compose are highly recommended to run the example.

1. Bring up the docker stack: docker-compose up -d

2. Rest API is available on http://localhost:8000

3. Trigger timeseries request: curl -d '{"database_code":"WIKI", "dataset_code":"FB"}' -H "Content-Type: application/json" -X POST http://localhost:8000

4. Check logs: docker-compose logs -f

5. List cached timeseries: curl -X GET http://localhost:8000

6. Get timeseries: curl -X GET http://localhost:8000/WIKI-FB

7. Monitor tasks in flower: http://localhost:5555

If you run without docker, make sure you run the services specified in the docker-compose.yml file individually and adjust the environment variables, ports etc as required.