Community Winds visualization for Alaska communities

Data preprocessing & local development

First, clone the repo then

pipenv install

If you need to re-process the data, obtain station data and place it in data/stations (create this directory if necessary), then run:

pipenv run python preprocess.py # takes a long time, 15+ minutes

For local development,

export FLASK_APP=application.py
export FLASK_DEBUG=1
export DASH_REQUESTS_PATHNAME_PREFIX='/'
pipenv run flask run

The project is run through Flask and will be available at http://localhost:5000.

Deploying to AWS Elastic Beanstalk:

Apps run via WSGI containers on AWS.

Before deploying, make sure and run pipenv run pip freeze > requirements.txt to lock current versions of everything.

eb init
eb deploy

It'll be necessary to set the DASH_REQUESTS_PATHNAME_PREFIX as appropriate on the EB instance.