Versione Italiana qui

A simple dashboard to monitor the COVID-19 outbreak in Italy, using the dataset provided by the Civil Protection (CP)

Mobile	Desktop

The WebApp uses a Flask server and gunicorn in front of it, and it only requires Python3.6+. Furthermore, it employs Flask-babel for the italian translation. The script make_pot.sh creates the needed files. A Batch version of the script is provided for Windows users. The website's language is decided upon the client request. The back-end retrieves the data and it serves it to the front-end chart and cards. I'm not using any db as, luckily enough, there isn't too much data to store, and hopfully there will not be, ever.

The front-end is under covidashit/templates and it uses a simple JS to create the chart object, which is built using HighCharts. Additionally, bar chart races are produced every day with a scheduled cron job that runs a script from BCR2Mongo.

Thanks to the bar-chart-race library maintainers.

• create and activate a virtual environment (follow this)
• install the requirements in requirements.txt

Clone the repo, cd into it, and

$ export FLASK_ENV=development
$ export FLASK_DEBUG=1
$ python -m flask run

Flask will be listening at http://127.0.0.1:5000

The provided Dockerfile is ready to be used to deploy the app on Heroku. To test the production environment locally, uncomment L18 and L31 of the Dockerfile, and run

$ docker build --tag covidashit:latest . 
$ docker run --name covidashit -d -p 80:5000 covidashit

The docker container will be listening at http://127.0.0.1

The app can be deployed on Heroku either as a docker container or simply using the Procfile

If you liked this project or if I saved you some time, feel free to buy me a beer. Cheers!