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're in the root directory of the repository and run `docker-compose build`
Then run commands, opening a new terminal window or tab:
- 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: `docker run --rm -it j40_score /bin/sh -c "python3 application.py census-data-download"`
## Log visualization
If you want to visualize logs, 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 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)
- 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`
- 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).