Ambulance Notifier RESTful API

This application is backend service for serving Ambulance Notifier App, capstone project for BANGKIT 2021.
This service was built using Flask.

Installing application

Make sure using Python 3.9.*

• First download or clone this repository.

git clone https://github.com/daffaalfandy/ambulance-notifier-service.git
curl -LO https://github.com/daffaalfandy/ambulance-notifier-service/archive/refs/heads/main.zip

• Instal required dependency.

cd [application_directory]

If you have create virtual environment

pip install -r requirements.txt

Else

pip install virtualenv
virtualenv .venv
source .venv/bin/activate
pip install -r requirements.txt

• Create and import database. SQL

  Create database with your desired name.
  Import table from ambulance_notifier.sql.

• Make copy env file.

cp env .env

Please customize .env file match with the machine environment.

• Run the application.

python app.py

Deploying Application

For deployment please refer from this Article

Change ExecStart in systemd config to this command

ExecStart=[Absolute path to your gunicorn package] -k geventwebsocket.gunicorn.workers.GeventWebSocketWorker -w 1 --threads 100 --bind 127.0.0.1:5000 app:app

Change nginx config to

server {
        listen 80;
        server_name 34.101.69.158 api.nitiscreative.com;

        access_log [your_access_log_path]
        error_log [your_error_log_path];

        location / {
                include proxy_params;                ambulance-notifier-service-main/ambulance-notifier.sock;
                proxy_pass http://127.0.0.1:5000;
        }
        location /socket.io {
                include proxy_params;
                proxy_http_version 1.1;
                proxy_buffering off;
                proxy_set_header Upgrade $http_upgrade;
                proxy_set_header Connection "upgrade";
                proxy_pass http://127.0.0.1:5000;
        }
}

Endpoint Documentation

Please refer to this Documentation.

Credits

Thanks to:

• Nanditya Nuswatama as Designer and Mobile Developer.
• Musthoffa Ammar as Mobile Developer.
• Nicholas Nanda, and Emanuella Wintari as Machine Learning Engineer.
• Natalia Syafitri as as non technical team member.