#' import_ungrouped_cd
#'
#' @param file_path file_path
#' @param options_table options_table
#'
#'
#' @keywords internal
import_ungrouped_cd <- function(file_path, options_table){
message('Start import unaligned compound discoverer')
if(is.null(file_path)){
stop('No ungrouped file selected')
}
#Check if filetype is csv
if(tools::file_ext(file_path) != 'csv'){#impo
stop('ungrouped dataset is not a valid csv file')
}
#Import csv file
ug_table <- data.table::fread(file_path)
#Make sure options_table is valid
if (!data.table::is.data.table(options_table)){
stop('Options is not type DataTable')
}
#Check if all columns defined in optionsframe are present
ug_req_cols <- stats::na.omit(options_table$ug_columns)
if(!all(ug_req_cols %in% colnames(ug_table))){
cols_not_found <- setdiff(ug_req_cols, colnames(ug_table))
stop('Columns defined in options but not present in Compound Discoverer ungrouped dataset: ', paste0(cols_not_found, sep = " - "))
}
#rename all columns for internal use according to options frame
ug_table <- rename_columns_from_options(ug_table, options_table, 'ug_columns', 'internal_columns')
#Add a sample_id column based on the sample_names in options_dt
ug_table <- ug_table[options_table, ':=' (sample_id = i.sample_id), on=c(sample_name = 'ug_samples')]
#Remove peaks where height and area are below 0
ug_table <- ug_table[peak_area > 0 & peak_height > 0]
#Generate comp_id for each peak
ug_table$comp_id <- seq.int(nrow(ug_table))
#Multiply rt by 60 to convert min to seconds ##MAKE OPTIONAL LATER
ug_table[, ':=' (rt = rt*60, rt_start = rt_start*60, rt_end = rt_end*60)]
#Add "_ug" as suffix to each column name
colnames(ug_table) <- paste(colnames(ug_table), 'ug', sep = '_')
message(paste0('Successful import of unaligned Compound Discoverer output. No. of peaks imported: ', nrow(ug_table)))
return(ug_table)
}
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