Waste Reduction Backend

This repo includes:

1. Python Flask backend server used to get information from the inference server, process and store the data in PostgreSQL
2. Dockerfiles & docker-compose configurations for easy launch of the backend including all dependencies

Launch an instance in AWS

1. Connect to AWS waste-reduction account
2. Create a new EC2 instance from the Launch instances wizard
   1. Give it a name
   2. Click Browse more AMIs
   3. In search bar search for ami-013d3da30d7c5977d and choose from Community AMIs - Deep Learning Base AMI ( Ubuntu 18.04) Version 55.0 (press Select)
   4. Instance type: t2.micro
   5. Key pair - choose the ireland-eu-west-1-waste-reduction-key.pem
   6. Allow all network traffics
      1. Allow SSH traffic from
      2. Allow HTTPS traffic from the internet
      3. Allow HTTP traffic from the internet
   7. Choose 128GB
   8. Press Launch instance
3. To log in to the instance use: ssh -i ireland-eu-west-1-waste-reduction-key.pem ubuntu@<instance_public_ip>

sudo apt-get -y update

# postgresql
sudo apt install postgresql postgresql-contrib
sudo apt-get -y install python-psycopg2
sudo apt-get -y install libpq-dev
sudo systemctl start postgresql.service

# python
cd waste_reduction_api_backend
pip3 install -r requirements.txt 

python3 run.py

Note that in case you are using the backend as a service, you should use:

sudo nano /lib/systemd/system/waste-reduction-backend.service

[Unit]
Description=Waste Reduction Backend Service
After=network-online.target

[Service]
ExecStart=/home/ubuntu/waste_reduction_api_backend/src/start.sh
User=ubuntu

[Install]
WantedBy=multi-user.target


sudo systemctl daemon-reload
sudo systemctl enable waste-reduction-backend.service
sudo systemctl start waste-reduction-backend.service
sudo systemctl status waste-reduction-backend.service