rodekruis/ibf-rainfall-trigger-kasese

IBF trigger model for heavy rainfall in Kasese, Uganda # IBF-rainfall Heavy rainfall forecast pipeline for Kasese District to support Uganda RCS. Adapted from rainfall-monitor-metnoAPI ## Introduction This is a series of scripts running run daily to: 1. Extract latest rainfall forecast data from ECWMF (via Norwegian Meteorological Institute, using MET Norway Location Forecast) and other input static data. 2. Check if there will be a heavy rainfall event in a several lead times 3. Create rainfall extents and calculated affected population, 4. Load the output to locations where they can be served to the IBF Portal. ### Prerequisites 1. Install Docker ### Installation 1. Clone this directory to ` `/IBF-pipeline/ 2. Change `/pipeline/lib/pipeline/secrets.py.template` to `secrets.py` and fill in the necessary secrets. 3. Build Docker image (from the IBF-pipeline root folder) and run container with volume. - Build image: `docker build -t ibf-rainfall-kasese .` - Create + start container: `docker run -it --entrypoint /bin/bash ibf-rainfall-kasese` - Test it (from within Docker container) through: `run-pipeline` For operations, see status at Azure Logic App.