Prevention Point Philadelphia is a private nonprofit organization providing harm reduction services to Philadelphia and the surrounding area.

Currently, they are storing data from their programs in separate Excel spreadsheets, disparate EHRs, and partner data systems. This prevents them from being able to see all activities associated with an individual program participant, and also makes it impossible for them to do meaningful analyses that monitor program health and evaluate efforts.

This project would work to migrate all of the disparate data sources into one system, make a UI that allows Prevention Point to access all participant data in one system, and increase the ease with which program coordinators can evaluate and monitor activities.

This is a Code for Philly project operating under their code of conduct.

• Install docker-compose
• Install pipenv
• Install dependencies

pipenv sync

• Activate virtualenv

pipenv shell

• Start the postgres database container

docker-compose up -d db

• Migrate the database

python manage.py migrate

• Seed the database:

python manage.py seed

• Create a superuser:

python manage.py createsuperuser

• Start the app:

python manage.py runserver 0.0.0.0:8000

• Now you can:
  • Navigate to the django admin page at localhost:8000/admin
  • Connect to the running postgres instance

$ docker-compose exec db psql -U postgres

• Shut down the app:

$ docker-compose down

• Make sure you have node (>=10.15.3) and yarn (>=1.15.2) installed
• From the project's root directory, cd frontend
• Run yarn to install dependencies
• Run yarn dev and navigate to localhost:1234

Other tools

Wiki

Milestones

MVP Tracker

Slack Channel #preventionpoint #prevpoint-frontend #prevpoint-backend #prevpoint-pairing

Google Drive