description: Civic Tech Projects with Prevention Point

Prevention Point

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.

Prevention Point Unifed Reporting System

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.

Before Contributing:

Read through the Wiki.
Familiarize yourself with the agreed upon project change management practices.

Code of Conduct

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

Getting Started

Instructions on how to run the project outside of a container.

Back-end

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
```

Front-end

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

For more information on the front-end please see the front-end README

Scripts

Instructions on running the project inside docker.

This project implements the Scripts To Rule Them All interface for developers:

script/server — Brings a fully working environment up at localhost:8080
script/setup — Run after script/server to initialize local database with seed data
script/update — Run after changing code or switching branches to refresh server

Other tools