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##############################
# Copyright 2019 Kenith Grey #
##############################
# Copyright Notice --------------------------------------------------------
# This file is part of MobileTrigger.
#
# MobileTrigger is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# MobileTrigger is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with MobileTrigger. If not, see <http://www.gnu.org/licenses/>.
#' @export
#' @title HTML Summary of Model Result
#' @description Function takes i) a selected model from the TRIGGER_PATH]/Models/ folder
#' and the results and makes an HTML summary for the e-mail message response.
#' @param ID integer, Model ID value determined from MobileTrigger::ListModels() output
#' when SelectMDL = NULL
#' @param path string, path to the /Models/ folder.
#' @param outputData data.frame, table with model, inputs, and outputs.
#' @return A HTML summary for e-mail message response.
#' @examples
#' \donttest{
#' ################################
#' # createMessage Example #
#' ################################
#'
#' MDLpath <- 'c:/triggers/Models/'
#' InputPath <- 'c:/triggers/modelInput.txt'
#'
#' # Read Data and Model -----------------------------------------------------
#' Input <- MailTriggerInput(InputPath=InputPath)
#'
#' # Load Selected Model -----------------------------------------------------
#' MDL <- GetModel(ID = Input$ID, path = MDLpath)
#' # Predict -----------------------------------------------------------------
#' if(MDL == 'No Models in Path'){
#' }else if(!is.null(MDL[[1]]$scaled)){
#' if(MDL[[1]]$scaled == T){
#' Input$data$Prediction <-
#' unlist(predict(MDL[[1]], Input$data)) * MDL[[1]]$outRange + MDL[[1]]$outMin}
#' }else{
#' Input$data$Prediction <- unlist(predict(MDL[1], Input$data))
#' }
#'
#' # Build Message -----------------------------------------------------------
#' msg <- createMessage(ID = Input$ID,
#' path = MDLpath,
#' outputData = Input$data)
#' }
createMessage <- function(ID, path = NULL, outputData){
pathResult <- .pathTest(path)
if(pathResult[1] == FALSE){
stop(pathResult[2])
}
if(ID == 0){return("No InputFile In Path")}
CSS_Table <- "style='border: 1px solid black; width: 75%;'"
CSS_Cells <- "text-align:center; color: black; padding: 5px; border: 1px solid black;"
x <- ID
TableRows <- nrow(outputData)
#print(TableRows)
O1 <- ListModels(path = path, SelectMDL = x)
O2 <- knitr::kable(
x = cbind(`Model ID`=x, outputData),
format = "html",
table.attr = CSS_Table)
O3 <- kableExtra::row_spec(kable_input = O2,
row = 0:TableRows,
extra_css = CSS_Cells )
msg <- paste("<h2 style='color:black;'>Model Selected</h2>",
paste0(O1, collapse = ""),"<br>",
"<h2 style='color:black;'>Model Results</h2>",
paste0(O3 , collapse = "")
)
return(msg)
}
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