# python-celery-dockerize-celery-django

**Repository Path**: lingyangkeji_admin/python-celery-dockerize-celery-django

## Basic Information

- **Project Name**: python-celery-dockerize-celery-django
- **Description**: https://www.distributedpython.com/2018/06/12/celery-django-docker
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 2
- **Created**: 2020-03-02
- **Last Updated**: 2023-04-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# How to Dockerize a Celery App With Django And RabbitMQ

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```

6. Monitor tasks in flower:
[http://localhost:5555](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.