#' @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 \code{\link{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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