update_data_and_predict: Update Model Input Data and Predict Water Quality

In KWB-R/kwb.flusshygiene.app: R Package Implementing the Flusshygiene Application

Description

This is the main function. It is assumed to be run on a daily basis. It downloads current rain and flow data, does a simple validation of the data, prepares the data for the model and runs the model to predict the water quality.

Usage

update_data_and_predict(
  day_string = as.character(Sys.Date()),
  upload = FALSE,
  dbg = 1
)

Arguments

day_string	day for which to predict the water quality, in format yyyy-mm-dd, e.g. "2019-07-01". Default: as.character(Sys.Date())
upload	logical. If TRUE the prediction file Vorhersage_yyyy-mm-dd.csv is uploaded to the server of Technologiestiftung Berlin (TSB).
dbg	debug level. The higher the value, the more verbose the output

Details

The following environment variables need to be set:

FTP_URL_KWB

URL to KWB's download FTP server

FTP_URL_SENATE

URL to Senate's download FTP server

FTP_URL_TSB

URL to TSB's upload server

USER_PWD_KWB

User name and password for KWB's download FTP server

USER_PWD_SENATE

User name and password for Senate's download FTP server

USER_PWD_TSB

User name and password for TSB's upload server

You may use usethis::edit_r_environ() to open the .Renviron file in which you can add the corresponding assignments.

KWB-R/kwb.flusshygiene.app documentation built on July 18, 2021, 2:55 p.m.