Add read_obsnode() for importing "OBS_NODE.out"

to do: link to obs node depth/position

NAMESPACE

@@ -10,6 +10,7 @@ export(prepare_atmosphere_input)
 export(read_alevel)
 export(read_atmosph)
 export(read_meta_general)
+export(read_obsnode)
 export(read_runinf)
 export(read_solute)
 export(read_tlevel)
@@ -30,6 +31,7 @@ importFrom(kwb.utils,safePath)
 importFrom(kwb.utils,stringList)
 importFrom(magrittr,"%>%")
 importFrom(readr,fwf_widths)
+importFrom(readr,read_csv)
 importFrom(readr,read_delim)
 importFrom(readr,read_fwf)
 importFrom(readr,read_table)
@@ -40,6 +42,7 @@ importFrom(stringr,str_pad)
 importFrom(stringr,str_remove)
 importFrom(stringr,str_remove_all)
 importFrom(stringr,str_replace)
+importFrom(stringr,str_replace_all)
 importFrom(stringr,str_split)
 importFrom(stringr,str_split_fixed)
 importFrom(stringr,str_trim)

R/read_obsnode.R

@@ -0,0 +1,74 @@
+#' Read Obs_Node.out
+#'
+#' @param path path to Obs_Node.out
+#' @param to_longer convert table to longer format (default: TRUE)
+#' @importFrom stringr str_trim str_split str_replace_all str_remove
+#' @importFrom readr read_csv
+#' @export
+read_obsnode <- function(path, to_longer = TRUE) {
+  # Lese die Datei ein
+  lines <- readLines(path)
+
+  lines <- lines[seq_len(grep("end", lines)-1)]
+
+  # Lese die Node-Namen aus Zeile 9 ein
+  nodes_idx <- grep("Node", lines)
+  nodes_line <- lines[nodes_idx]
+
+  node_names <- nodes_line %>%
+    stringr::str_trim() %>%
+    stringr::str_split("\\s{2,}", simplify = TRUE) %>%
+    as.vector() %>%
+    stringr::str_replace_all(pattern = "\\(\\s?", replacement = "") %>%
+    stringr::str_remove("\\)") %>%
+    tolower
+
+  timeseries_idx <- grep("time", lines)
+
+  headers <- lines[timeseries_idx] %>%
+    stringr::str_trim() %>%
+    stringr::str_replace_all("\\s+", ",") %>%
+    stringr::str_split(pattern = ",", simplify = TRUE) %>%
+    as.vector() %>%
+    tolower()
+
+  block_start <- grep(pattern = "^h$", headers)
+  block_end <- c(block_start[2:length(block_start)] - 1, length(headers))
+
+  n_blocks <- length(block_start)
+
+  headers_clean <- c("time", lapply(seq_len(n_blocks), function(i) {
+
+    headers_sel <- headers[block_start[i]:block_end[i]]
+    is_conc <- grepl("conc", headers_sel)
+
+    if(sum(is_conc) > 0) {
+      headers_sel[is_conc] <- sprintf("%s%d",
+                                      headers_sel[is_conc],
+                                      seq_len(sum(is_conc)))
+    }
+
+    sprintf("%s_%s", node_names[i], headers_sel)
+  }) %>% unlist())
+
+
+  dat_csv <- c(paste0(headers_clean, collapse = " "),
+               lines[(timeseries_idx+1):length(lines)]) %>%
+    stringr::str_trim() %>%
+    stringr::str_replace_all("\\s+", ",")
+
+  path_csv <- file.path(tempdir(), "obs_node.csv")
+
+  writeLines(dat_csv, path_csv)
+
+  dat <- readr::read_csv(path_csv)
+
+  if(to_longer) {
+    dat %>%
+      tidyr::pivot_longer( - time) %>%
+      tidyr::separate(col = "name", into = c("node", "variable"), sep = "_")
+  } else {
+    dat
+  }
+
+}