#' search_delta_mass
#'
#' @param type the search type, either 'SIM' or other for pequdo SIM \(eg. 0-25V consecutive MS2 cycles\).
#' @param rt_tol the retention time tolerance to search for the neutral loss mass aglycone peak in seconds. Usually set to the time for 2 duty cycles.
#' @param ppm_tol the mass tolerance in ppm. Use a wide window, typically 20-50 to aid detection of distribution of mass errors.
#'
#' @export
#'
search_delta_mass <- function(type = 'SIM',rt_tol = 9,ppm_tol = 20){
cat(paste("\nEntering mass search for delta mass: ",delta_search_mass," Da\n", sep=""))
peak.idx <- dat <- dRT <- RT <- dM <- dMppm <- dint <- cMZ <- pMZ <- tint <- pint <- scan <- filters <- NULL
assign('filterString',unique(header$filterString),.GlobalEnv)
assign('g',grep("Full ms2", filterString),.GlobalEnv)
if(length(filterString[-g]) != 0){
cat(paste("There are ",length(filterString[-g]),"SIM or mass aquisition windows (MS2 - 0 meV) to be processed.\n"))
}else{
cat(paste("There are ",length(filterString),"mass aquisition windows to be processed.\n"))
}
if(length(filterString[-g]) == 0){
ms1FilterString = filterString
}else{
ms1FilterString = filterString[-g]
}
bk = F
filteridx <<-1
scandef_idx <<- 1
t = Sys.time()
dat = lapply(ms1FilterString, function(x) search_filter(x,type = type))
print(Sys.time() - t)
dat <- do.call("rbind", dat)
cat(paste("Finished searching mass list for delta mass.\n"))
assign("db_name", paste(sample_dir,"/", tolower(sample_name),"-",format(Sys.time(),"%Y%m%d_%H%M"),".sqlite",sep=""), .GlobalEnv)
con <- RSQLite::dbConnect(RSQLite::SQLite(),db_name)
RSQLite::dbWriteTable(con,"raw_peaklist",dat)
RSQLite::dbDisconnect(con)
cat(paste("\nIntermediate search results located in SQLite DB: ",db_name),"\n")
cat(paste("This DB will be used in subsequent steps if you keep this workspace loaded.\n"))
# cat(paste(dim(dat)))
}
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