#' @title readWBGEM
#' @description read raw data of world commodity prices from the dataset of World Bank global economic monitor
#' @return magpie object of global price of commodities
#' @author Xiaoxi Wang
#' @seealso [readSource()]
#' @examples
#' \dontrun{
#' readSource(type = "WBGEM")
#' }
#'
#' @importFrom reshape2 melt acast
#' @importFrom magclass as.magpie
readWBGEM <- function() {
file <- "ca1f3e3e-e666-4ce8-94d3-796854021263_Data.csv"
x <- read.csv(file, header = TRUE)
# select annual data
years <- paste0("X", seq(1960, 2017, by = 1), "..", seq(1960, 2017, by = 1), ".")
y <- cbind(x[, c(1:3)], x[, colnames(x)[colnames(x) %in% years]])
colnames(y)[4:length(colnames(y))] <- gsub("\\.", "", gsub("X[0-9]...", "", colnames(y)[4:length(colnames(y))]))
# convert to magpie object
y <- y[-which(y$Country.Code == ""), ]
out <- as.magpie(acast(suppressMessages(melt(y)), Country.Code ~ variable ~ Series), spatail = 1, temporal = 2)
dimnames(out)[[1]] <- "GLO"
return(out)
}
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