Shiny visualization interface
- Create and activate a virtual environment for docker-compose :
python3 -m venv py-docker
. py-docker/bin/activate
python -m pip install docker-compose
- Build Docker image with required R dependencies :
# in directory fct-shiny/docker
docker build .
- Create
.env
file next todocker-compose.yml
:
QGS_USER=1000
QGS_SERVER_PORT=127.0.0.1:8010
QGS_DATA=/path/to/qgis/projects
FCT_DATA=/path/to/netcdf/data
APP_ROOT=/path/to/fct-shiny
- Run the application
docker-compose up