Whenever new feature or fix is going to be added, create new branch from development called FIX:fix-name or FEATURE:feature-name and after completing the task, and successfully testing, merge into the development branch. When everything is tested and works, merge development into staging branch, and CI/CD will deploy to the production if test is passed.

Goal of this project is developing Android application using Machine Learning and Evolutionary Algorithms.
Purpose is to develop application which will accept amount of money user will spent on shopping through the day as an input, analyzing data about category in which users spent money, make statistics about that, and notify users on some event, for example spending too much money on unnecessary things, running low on budget and similar events.
Android application will also have interactive map, track user location, stores he/she visited, etc.

This project has all necessary things you need to bring project to life in just a few steps.
This project is dockerized, meaning it runs in an isolated docker containers. There are 4 Docker containers, and one Docker-Machine (VM) for Windows users.
Containers:

• Nginx Web Server
• Python / Django
• PostgreSQL Database
• Redis Key-Value DB used for cache or as a Message Broker

Requirements:

• Docker
• Docker Compose
• Docker Machine

##*nix users In order to bring web backend to life, run ./setup.sh. If can't run, execute chmod u+x setup.sh to gain access to run.
On every change in docker configs execute ./setup.sh update
When new model is added in django, execute ./setup.sh makemigrations and ./setup.sh migrate

##Windows users create new virtualbox docker machine
docker-machine create -d virtualbox smartspent-dev

update environment vars, in order docker client to talks to docker engine on smartspent-dev VM instead of host OS
eval $(docker-machine env smartspent-dev)

connect with VM via ssh
docker-machine ssh smartspent-dev
After opening ssh connection to the VM, start

##IP Address
In order Android application to communicate with the backend, nginx web server should be configured with the PC private IP address (e.g. 192.168.1.50) in nginx/conf.d/default.conf. IP addresses in upstreams also should be changed to that address. To get the IP address of your NIC, execute ip addr (on *nix) or ipconfig on Windows.

##Additional docker commands List docker containers, view logs, shell to a docker container, shutdown all containers
docker ps
docker-compose logs
docker exec -it /bin/bash
docker-compose down

Docker VMs list, SSH to a VM, get the ip, stop VM
docker-machine ls
docker-machine ssh smartspent-dev
docker-machine ip smartspent-dev
docker-machine stop smartspent-dev

For deployment, production.yml should be used
docker-compose -f production.yml up -d