Emotion Mapper Tool - Data Storage - Prototype

Overview

In order to use Emotion Mapper fully, please also download the Emotion Mapper User Front End and the Emotion Mapper Admin Dashboard

Requirement

* Docker
* Docker-Compose
* Django>=2.0,<3.0
* Psycopg2>=2.7,<3.0
* Django-cors-headers==3.0.2
* Djangorestframework==3.8.2

Getting Started

To run: docker-compose up

To run python commands:

	docker-compose up
	docker ps
	docker exec -t -i (container id) bash

Temp admin:

	admin
	root

Database Schema:

Arrays will be stringified when obtained from the database

Appened the respective ID to its API call to obtain a specific object: e.g. "COL1"

API Call: ":8080/DBCalls/"

Collection object:
	{
		"colID"		: String ("COL4"),
		"colName"	: String,
		"colExh"	: Array ([Exhibit Object,]),
		"colMods"	: Array ([Module Object,])
	}

API Call: ":8080/DBCalls/Exhibits/"

Exhibt Object:
	{
		"exhID"		: String ("EX3"),
		"exhName"	: String,
		"exhIMG"	: String (URL),
		"exhDesc"	: String,
		"exhMods"	: Array ([Module Object,])
	}

API Call: ":8080/DBCalls/Modules/"

Module Object:
	{
		"modID"			: String("MOD2"),
		"modName"		: String,
		"modType"		: String,
		"modQuestions"	: Array ([Question Object,])
	}

Question Object:
	{
		"qID"		: String("QUE7")
		"qTitle"	: String,
		"qType"		: String
		"qExtra"	: String
	}