# Justice 40 Score application

## Running using Docker

We use Docker to install the necessary libraries in a container that can be run in any operating system.

To build the docker container the first time, make sure you have Docker running on your machine and that you're in the root directory of the repository. Then run `docker-compose build`.

You can then run the following commands. You probably want to run these in a new terminal tab or window, because they may take a long time to run, especially the last one that generates the census data.

- Get help: `docker run --rm -it j40_score /bin/sh -c "python3 application.py" python3 application.py --help"`
- Clean up the data directories: `docker run --rm -it j40_score /bin/sh -c "python3 application.py data-cleanup"`
- Generate census data (this may take 2-3 hours): `docker run --rm -it j40_score /bin/sh -c "python3 application.py census-data-download"`

## Log visualization

If you want to visualize logs while running a command, the following temporary workaround can be used:

- Run `docker-compose up` on the root of the repo
- Open a new tab on your terminal
- Then run any command for the application using this format: `docker exec j40_score_1 python3 application.py [command]`

## Local development

You can run the Python code locally without Docker to develop, using Poetry. However, to generate the census data you will need the [GDAL library](https://github.com/OSGeo/gdal) installed locally. Also to generate tiles for a local map, you will need [Mapbox tippeanoe](https://github.com/mapbox/tippecanoe)

- Start a terminal
- Make sure you have Python 3.9 installed: `python -V` or `python3 -V`
- We use [Poetry](https://python-poetry.org/) for managing dependencies and building the application. Please follow the instructions on their site to download.
- Install Poetry requirements with `poetry install`

### Downloading Census Block Groups GeoJSON and Generating CBG CSVs

- Make sure you have Docker running in your machine
- Start a terminal
- Change to this directory (i.e. `cd score`)
- If you want to clear out all data and tiles from all directories, you can run: `poetry run python application.py data-cleanup`.
- Then run `poetry run python application.py census-data-download`
  Note: Census files are not kept in the repository and the download directories are ignored by Git

### Generating mbtiles

- TBD

### Serve the map locally

- Start a terminal
- Change to this directory (i.e. `cd score`)
- Run: `docker run --rm -it -v ${PWD}/data/tiles:/data -p 8080:80 maptiler/tileserver-gl`

### Running Jupyter notebooks

- Start a terminal
- Change to this directory (i.e. `cd score`)
- Run `poetry run jupyter notebook`. Your browser should open with a Jupyter Notebook tab

### Activating variable-enabled Markdown for Jupyter notebooks

- Change to this directory (i.e. `cd score`)
- Activate a Poetry Shell (see above)
- Run `jupyter contrib nbextension install --user`
- Run `jupyter nbextension enable python-markdown/main`
- Make sure you've loaded the Jupyter notebook in a "Trusted" state. (See button near
  top right of Notebook screen.)

For more information, see [nbextensions docs](https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/install.html) and
see [python-markdown docs](https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tree/master/src/jupyter_contrib_nbextensions/nbextensions/python-markdown).

## Miscellaneous

- To export packages from Poetry to `requirements.txt` run `poetry export --without-hashes > requirements.txt`