Building the docker images

task-service (the rest service used to manage the jobs)

1. cd into task_management_project and run:

docker build -t django_service .

job_consumer (the rabbitmq consumer of the worker queue)

1. cd into task_executor and run:

docker build -t job_consumer .

Creating a bridge network

1. create a network that will be used by the containers

docker network create  --driver bridge custom

How to run the system in docker

1. start a rabbitmq broker

docker run --rm -it --hostname my-rabbit -p 15672:15672 -p 5672:5672 --network custom --name rabbit rabbitmq:3-management

2. start a task_executor (job_consumer image)

docker run --rm -it --network custom job_consumer job_queue -rhs rabbit -hs task-service

3. start the task-service (django_task image)

docker run --rm -it --network custom --name task-service -p 8000:8000  -e docker_rabbit_host='rabbit' django_service

Some useful endpoints

It's possible to take advantage of the browsable API

1. create a new job or list existing ones: http://127.0.0.1/api/jobs
2. get the details of a specific job or update some information: http://127.0.0.1/api/jobs/<int:pk>

Testing in Docker

1. make sure you have a rabbitmq broker running following point 1 of the section "How to run the system in docker"
2. start a task_executor (job_consumer image) with a timeout of 2 seconds

docker run --rm -it --network custom job_consumer job_queue -rhs rabbit -hs task-service -to 2

3. run the tests with

docker run --rm -it --network custom --name task-service --entrypoint python -p 8000:8000  -e docker_rabbit_host='rabbit' django_service -m pytest --liveserver task-service:8000