Feature Request App

This is a project that I created as part of a test for hiring. The app allows a user to submit feature request and also shows a list of already submitted requests.

A "feature request" is a request for a new feature that will be added onto an existing piece of software. The fields are:

• Title
• Description
• Client: A selection list of clients ("Client A", "Client B", "Client C")
• Client Priority: A numbered priority according to the client (1...n). Client Priority numbers do not repeat for the given client, so if a priority is set on a new feature as "1", then all other feature requests for that client are reordered.
• Target Date
• Product Area: A selection list of product areas (use 'Policies', 'Billing', 'Claims', 'Reports')

Tech Stack

This project was built using the following technologies:

• Server Side Scripting: Python 3.7.2
• Server Framework: Flask
• ORM: Sql-Alchemy (MySQL)
• JavaScript: JQuery
• Front-End: Bootstrap

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

You need to have python 3.6+ running on your system.

Installing

These instructions will give you a local repository on your machine which you can then run and use. These steps assumes you have pip installed already.

<!-- git clone https://github.com/emmanueljimawo/Project.git -->
pip install -r requirements.txt
python db_create.py
python manage.py runserver

Running the tests

To run tests

python manage.py test

Break down into end to end tests

These tests tries to cover the total functionality of this App in-order to eradicate bugs.

The modules covered are

project/home/forms.py
project/home/routes.py
project/models.py
project/users/routes.py

To get full information on the coverage of the test carried out

python manage.py cov

Deployment

The app is hosted live at Feature Request App Demo using AWS EC2 Ubuntu 18.04. If you want a local copy, kindly follow the installation guide above.

For production, I made use of MySQL as database, Nginx as webserver and gunicorn for deploying the python application(wsgi).

Docker Compose

• Clone the app
• Build the image with docker-compose build
• Run the container with docker-compose up -d
• Run app on browser on port 8000

To login

USER 1
Username = admin
Password = admin

USER 2
Username = stevejobs
Password = 5october2011

USER 3
Username = elonmusk
Password = 28june

Authors

• Jimawo Emmanuel - emmanueljimawo