Quiz

To build the project

docker-compose up -d --build api

Considerations

This repo is a sample for the package Django-ddd (package here https://github.com/jdiazromeral/django-ddd). This package is a proof of concept to adapt Django apps folder structure to something more like hexagonal architecture.

Project is build using docker-compose, so we don't need to set a local environment; we can directly use the one provided by docker-compose and docker.

All the code is in the src folder, under the service context. You can find entities, repository definitions, exceptions and business validation rules under domain, application services for the different features under application and all infrastructure related stuff, mainly API controllers, in memory and mongodb repositories, under infrastructure.

Each endpoint is listed in config/urls.py file.

Domain Model

You can find all the domain definitions under service/domain. Main entities are:

• Quiz
• Question
• Answers

Database

Added two samples:

• In memory repository
• MongoDB repository (sorry, a bit quick and dirty one) using PyMongo

In the future we will add one using Django models.

API

We can retrieve all quizs available with a get call to http://localhost:8000/all

We can create quizs with a post call to: http://localhost:8000/create

Sample calls:

curl --location --request GET 'http://localhost:8000/all
or 
curl --location --request GET 'http://localhost:8000/all_mongo

Response

[
    {
        "id": "d8a13304-d815-4db4-b801-efb3f91d55f3",
        "title": "quiz title",
        "description": "quiz description",
        "type": "quiz type",
        "time": 10,
        "questions": [
            {
                "id": "a201429b-35d9-469c-9af1-125359d7d76e",
                "text": "text question",
                "skill": "LISTENING",
                "answers": {
                    "ff83bc63-cd97-453a-b9b1-287522ad00b1": {
                        "id": "ff83bc63-cd97-453a-b9b1-287522ad00b1",
                        "text": "answer text",
                        "question_id": "a201429b-35d9-469c-9af1-125359d7d76e"
                    },
                    "f099b566-7615-40a8-8a7b-1f5c174083c1": {
                        "id": "f099b566-7615-40a8-8a7b-1f5c174083c1",
                        "text": "answer text",
                        "question_id": "a201429b-35d9-469c-9af1-125359d7d76e"
                    }
                },
                "correct_answer": [
                    "ff83bc63-cd97-453a-b9b1-287522ad00b1"
                ],
                "quiz": "d8a13304-d815-4db4-b801-efb3f91d55f3"
            }
        ]
    }
]

To create you can use create or create_mongo:

curl --location --request POST 'http://localhost:8000/create \
--header 'Content-Type: application/json' \
--data-raw '{
    "id": "d8a13304-d815-4db4-b801-efb3f91d55f3",
    "title": "quiz title",
    "description": "quiz description",
    "type": "quiz type",
    "time": 10,
    "questions": [
        {
            "id": "a201429b-35d9-469c-9af1-125359d7d76e",
            "text": "text question",
            "skill": "LISTENING",
            "answers": [
                {
                    "id": "ff83bc63-cd97-453a-b9b1-287522ad00b1",
                    "text": "answer text",
                    "question_id": "a201429b-35d9-469c-9af1-125359d7d76e"
                },
                {
                    "id": "f099b566-7615-40a8-8a7b-1f5c174083c1",
                    "text": "answer text",
                    "question_id": "a201429b-35d9-469c-9af1-125359d7d76e"
                }
            ],
            "correct_answer": ["ff83bc63-cd97-453a-b9b1-287522ad00b1"],
            "quiz_id": "d8a13304-d815-4db4-b801-efb3f91d55f3"
        }
    ]
}'