diff --git a/greenGridr/R/processGridSpyFiles.R b/greenGridr/R/processGridSpyFiles.R
index 0d25c5ac20ef77b3ef69c2494327105b10ec3cba..06756c8c5ce4bc275bc2b0276bd2513747401a44 100644
--- a/greenGridr/R/processGridSpyFiles.R
+++ b/greenGridr/R/processGridSpyFiles.R
@@ -1,8 +1,9 @@
-#' Functions for processing grid spy data files
+#' List all available 1 minute grid spy data files from a given path
 #'
 #' \code{list1mGridSpyFiles}. Lists all available 1 minute grid spy files from data repository. The functions, like most others in this package will fail
-#'    if you do not have the data in a folder/directory corresponding to 'path'. Code borrows extensively from similar SAVE project function.
-#'    This could take quite a long time if you have a lot of files.
+#'    if you do not have the data in a folder/directory corresponding to 'fpath'. Code borrows extensively from similar SAVE project function.
+#'    This could take quite a long time if you have a lot of files. The function returns a data table with 2 columns: hhID (household id) and fullPath (full path to each file)
+#'    We need the hhID as we cannot just concatinate all the files since the column headings (circuit labels) vary.
 #' @param fpath the name of the directory where the function should look
 #' @param pattern a pattern to match. Use the pattern to filter e.g. 1m (xx_at1.csv) from 30s () files
 #'
@@ -10,17 +11,30 @@
 #' @export
 #'
 list1mGridSpyFiles <- function(fpath, pattern){
-  # /Volumes/hum-csafe/Research Projects/GREEN Grid/_RAW DATA/GridSpyData
-  # "*at1.csv$"
+  # fpath <- "/Volumes/hum-csafe/Research Projects/GREEN Grid/_RAW DATA/GridSpyData"
+  # pattern <- "*at1.csv$"
   print(paste0("Looking for files matching ", pattern, " in ", fpath))
-  fileListDT <- as.data.table(list.files(path = fpath, pattern = pattern, # use the pattern to filter e.g. 1m from 30s files
-                                         recursive = TRUE))
-  fileListDT <- fileListDT[,
-                           c("hhID","fileName") :=  tstrsplit(V1, "/") # get actual household id & filename
-                           ]
-  fileListDT <- fileListDT[,
-                           fullPath := paste0(fpath,"/",V1) # get actual file name
-                           ]
-  print(paste0("Found ", tidyNum(nrow(fileListDT)), " of them."))
-  return(fileListDT)
+  dt <- as.data.table(list.files(path = fpath, pattern = pattern, # use the pattern to filter e.g. 1m from 30s files
+                                 recursive = TRUE))
+  dt <- dt[,
+           c("hhID","fileName") :=  tstrsplit(V1, "/") # get actual household id & filename
+           ]
+  dt <- dt[,
+           fullPath := paste0(fpath,"/",V1) # get actual file name
+           ]
+  print(paste0("Found ", tidyNum(nrow(dt)), " files from ", uniqueN(dt$hhID), " households."))
+  return(dt[, .(hhID, fullPath)])
+}
+
+#' Load all available 1 minute grid spy data files from the list returned by list1mGridSpyFiles
+#'
+#' \code{process1mGridSpyFiles}. Loads, processes ans saves 1 minute grid spy files by iterating over each household id. We we cannot just concatinate all the files since the
+#'    column headings (circuit labels) vary. The function saves out 1 data file per household ID per month.
+#' @param dt a data table with 2 columns: hhID and fullPath derived from list1mGridSpyFiles()
+#'
+#' @author Ben Anderson, \email{b.anderson@@soton.ac.uk}
+#' @export
+#'
+process1mGridSpyFiles <- function(dt){
+
 }