#' A function to compile individual CSVs in the SubsetContributions folder into a flat database.
#' Used to create a database after each individual record is entered.
#'
#' @param path Path to RICH folder.
#' @param format Is the data saved as csv or json?
#' @return A CSV of compiled contribution records will be added to the Results folder.
#' @export
#' @examples
#' \dontrun{
#' compile_subset_survey_data(path)
#' }
#'
compile_subset_survey_data = function(path=path, format="json"){
#####################
if(format=="csv"){
files = list.files(path=paste0(path,"/","SubsetContributions/"), pattern="*.csv")
Basic = vector("list",length(files))
for(i in 1:length(files)){
Basic[[i]] = matrix(read.csv(paste0(path,"/","SubsetContributions","/",files[i]),stringsAsFactors = FALSE, header = FALSE))
}
Nc = c()
for(i in 1:length(files)){
Nc[i] = length(Basic[[i]][[1]])
}
Nk = c()
for(i in 1:length(files)){
Nk[i] = length(matrix(read.csv(paste0(path,"/","SubsetContributions","/",files[i]),stringsAsFactors = FALSE)))
}
Data = matrix(NA, ncol=length(Basic[[1]][[1]]), nrow=length(files))
colnames(Data) = Basic[[1]][[1]]
for(i in 1:length(files)){
Data[i,] = Basic[[i]][[2]]
}
}
#####################
if(format=="json"){
files = list.files(path=paste0(path,"/","SubsetContributions/"), pattern="*.json")
Basic = vector("list",length(files))
for(i in 1:length(files)){
bob = readLines(paste0(path,"/","SubsetContributions","/",files[i]))
Basic[[i]] = matrix(jsonlite::fromJSON(gsub("'", '"', bob)))
}
}
Data = matrix(NA, ncol=length(Basic[[1]]), nrow=length(files))
colnames(Data) = names(jsonlite::fromJSON(gsub("'", '"', bob)))
for(i in 1:length(files)){
Data[i,] = unlist(Basic[[i]])
}
write.csv(Data, file=paste0(path,"/","Results/","SubsetContributions","-SummaryTable.csv"),row.names = FALSE)
}
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