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@ -0,0 +1,831 @@
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# Präambel ####
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library(shiny)
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library(dplyr)
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library(ggplot2)
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library(haven)
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library(officer)
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library(DBI)
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library(RSQLite)
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PFAD_DOWNLOAD_SKRIPT = "../API/get_data_iipc.R"
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PFAD_PSEUDONYM_SKRIPT = "../get_pseudo.R"
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AKZENT_FARBE = "#8B2635"
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IIPC_DISCLAIMER = paste0(
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"Diese Auswertung ist ein Hilfsmittel fuer klinisches Fachpersonal und ersetzt ",
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"keine klinische Diagnose. Die Interpretation obliegt der behandelnden Person."
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)
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IIPC_MISSING_WARNUNG = paste0(
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"Achtung: Aufgrund der hohen Anzahl an nicht beantworteten Items empfielt das Manual ",
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"auf die Auswertung des Tests zu verzichten."
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)
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IIPC_ANOMALIE_FUSSNOTE = paste0(
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"* Diese Normtabellenspalte enthält an dieser Stelle einen von den Nachbarwerten stark ",
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"abweichenden Grenzwert (vermutlich Übertragungsfehler im Originalmaterial). Der Wert wird ",
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"unverändert aus der Quelle übernommen; die Stanine-Einstufung dieser Skala sollte bei der ",
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"Interpretation mit Vorsicht behandelt werden."
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)
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# Anker: formr-Antwortstufen "nicht/wenig/mittelmäßig/ziemlich/sehr" -> 0-4.
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IIPC_ANKER_KODIERUNG = c("nicht" = 0L, "wenig" = 1L, "mittelmäßig" = 2L, "ziemlich" = 3L, "sehr" = 4L)
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IIPC_SKALEN_ITEMS = list(
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PA = c(17, 31, 44, 45, 50, 52, 57, 59),
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BC = c(1, 22, 24, 29, 32, 40, 56, 64),
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DE = c(11, 15, 16, 20, 23, 27, 36, 60),
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FG = c(3, 7, 14, 18, 33, 35, 55, 62),
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HI = c(5, 6, 8, 9, 12, 13, 19, 39),
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JK = c(2, 10, 25, 34, 38, 42, 53, 61),
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LM = c(21, 28, 37, 46, 49, 51, 54, 63),
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NO = c(4, 26, 30, 41, 43, 47, 48, 58)
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)
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IIPC_SKALEN_NAMEN = c(
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PA = "autokratisch/dominant",
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BC = "streitsüchtig/konkurrierend",
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DE = "abweisend/kalt",
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FG = "introvertiert/sozial vermeidend",
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HI = "selbstunsicher/unterwürfig",
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JK = "ausnutzbar/nachgiebig",
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LM = "fürsorglich/freundlich",
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NO = "expressiv/aufdringlich"
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)
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# Klassische IIP-Circumplex-Anordnung, im Uhrzeigersinn ab 12 Uhr.
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IIPC_SKALEN_REIHENFOLGE = c("PA", "BC", "DE", "FG", "HI", "JK", "LM", "NO")
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# Zwei dokumentierte Anomalien in den Quell-Normtabellen (siehe Datenreferenz):
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# unverändert übernommen, aber markiert.
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IIPC_ANOMALIE_REGELN = list(
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list(skala = "NO", spalte = "maenner_25_35"),
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list(skala = "JK", spalte = "frauen_35_50")
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)
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IIPC_STANINE_FARBEN = c(niedrig = "#4CAF50", mittel = "#9E9E9E", hoch = "#B71C1C")
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# Infrastruktur ####
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APP_VERZEICHNIS = normalizePath(getwd())
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absPath = function(pfad) {
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if (grepl("^([A-Za-z]:[/\\\\]|/)", pfad)) return(pfad)
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file.path(APP_VERZEICHNIS, pfad)
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}
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PFAD_DOWNLOAD_SKRIPT = normalizePath(absPath(PFAD_DOWNLOAD_SKRIPT), mustWork = FALSE)
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PFAD_PSEUDONYM_SKRIPT = normalizePath(absPath(PFAD_PSEUDONYM_SKRIPT), mustWork = FALSE)
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PFAD_NORMTABELLEN_ORDNER = normalizePath(absPath("normtabellen"), mustWork = FALSE)
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# Helper ####
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iipc_bereinige_label = function(text) {
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if (is.null(text) || length(text) == 0 || is.na(text[1])) return(NA_character_)
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t = as.character(text[1])
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t = gsub("\\*\\*", "", t)
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# Entfernt Markdown-Escapes vor Satzzeichen (z.B. "17\." -> "17."), bekannte formr-Exportfalle.
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t = gsub("\\\\([[:punct:]])", "\\1", t, perl = TRUE)
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trimws(t)
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}
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# Itemstufe (0-4) AUSSCHLIESSLICH ueber das labels-Attribut der ORIGINAL-Spalte ableiten
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# (Textabgleich gegen den Anker-Vektor), niemals ueber den rohen haven-Zahlenwert minus 1 -
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# die formr-interne Kodierung ist nicht garantiert stabil.
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iipc_get_level = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_integer_)
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lbl_attr = attr(original_col, "labels")
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if (is.null(lbl_attr) || length(lbl_attr) == 0) return(NA_integer_)
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) == 0) return(NA_integer_)
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label_text = iipc_bereinige_label(names(lbl_attr)[pos[1]])
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if (is.na(label_text) || !label_text %in% names(IIPC_ANKER_KODIERUNG)) return(NA_integer_)
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as.integer(IIPC_ANKER_KODIERUNG[[label_text]])
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}
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# Ankertext bevorzugt aus dem labels-Attribut (Original-Antworttext), sonst aus der
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# festen Anker-Kodierung anhand der bereits abgeleiteten Stufe.
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iipc_get_anker = function(original_col, wert, stufe) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_character_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) > 0) return(iipc_bereinige_label(names(lbl_attr)[pos[1]]))
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}
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if (!is.na(stufe) && stufe >= 0L && stufe <= 4L) return(names(IIPC_ANKER_KODIERUNG)[stufe + 1L])
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NA_character_
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}
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# Entfernt formr-Nummerierungsartefakte am Anfang des Itemtexts (z.B. "17. ").
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iipc_item_text = function(daten, var) {
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txt = iipc_bereinige_label(attr(daten[[var]], "label", exact = TRUE))
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if (is.na(txt) || nchar(txt) == 0) {
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return(paste0("Item ", suppressWarnings(as.integer(sub("^iipc_", "", var)))))
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}
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sub("^\\d+[.)]\\s*", "", txt)
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}
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# Geschlecht ausschliesslich ueber das labels-Attribut auslesen (Text "männlich"/"weiblich"
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# abgleichen), NICHT ueber hartkodierte Zahlenwerte 1/2.
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iipc_get_geschlecht = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_character_)
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lbl_attr = attr(original_col, "labels")
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if (is.null(lbl_attr) || length(lbl_attr) == 0) return(NA_character_)
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) == 0) return(NA_character_)
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txt = trimws(names(lbl_attr)[pos[1]])
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if (txt == "männlich") return("maenner")
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if (txt == "weiblich") return("frauen")
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NA_character_
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}
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iipc_alterskategorie = function(alter) {
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if (is.null(alter) || length(alter) == 0 || is.na(alter)) return(NA_character_)
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if (alter < 25) return("17_25")
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if (alter < 35) return("25_35")
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if (alter < 50) return("35_50")
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"ab50"
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}
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iipc_norm_spalte = function(geschlecht_key, alterskategorie) {
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if (is.na(geschlecht_key) || is.na(alterskategorie)) return(NA_character_)
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paste0(geschlecht_key, "_", alterskategorie)
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}
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# Stanine = kleinste Stufe n (1-9), fuer die gilt Wert < stanine_n; sonst 9.
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# Sucht die stanine_1..stanine_9-Zeilen ueber die 'zeile'-Spalte (robust gegen Zeilenreihenfolge).
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iipc_stanine = function(tabelle, spalte, wert) {
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stanine_zeilen = tabelle[grepl("^stanine_", tabelle$zeile), ]
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stanine_zeilen = stanine_zeilen[order(as.integer(sub("stanine_", "", stanine_zeilen$zeile))), ]
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grenzwerte = stanine_zeilen[[spalte]]
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treffer = which(wert < grenzwerte)
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if (length(treffer) > 0) return(as.integer(min(treffer)))
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9L
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}
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iipc_stanine_kategorie = function(stanine) {
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if (is.null(stanine) || is.na(stanine)) return("mittel")
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if (stanine <= 3) return("niedrig")
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if (stanine <= 6) return("mittel")
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"hoch"
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}
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iipc_ist_anomalie = function(skala, spalte) {
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if (is.na(spalte)) return(FALSE)
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any(vapply(IIPC_ANOMALIE_REGELN, function(r) r$skala == skala && r$spalte == spalte, logical(1)))
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}
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# Circumplex-Kreisdiagramm: 8 Achsen radial (45° Abstand), im Uhrzeigersinn ab 12 Uhr,
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# Radialachse = Oktanten-Rohwert (0-32). Manuelle Trigonometrie statt coord_polar(),
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# da coord_polar() bei kategorialen Achsen nicht zuverlaessig exakt bei 12 Uhr beginnt.
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make_circumplex_plot = function(oktanten_df) {
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n = nrow(oktanten_df)
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winkel = pi / 2 - (seq_len(n) - 1) * (2 * pi / n)
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punkte = data.frame(
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skala = oktanten_df$skala,
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r = oktanten_df$rohwert,
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kategorie = oktanten_df$kategorie,
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stringsAsFactors = FALSE
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)
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punkte$x = punkte$r * cos(winkel)
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punkte$y = punkte$r * sin(winkel)
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polygon_df = rbind(punkte, punkte[1, ])
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ring_werte = c(0, 8, 16, 24, 32)
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ring_df = do.call(rbind, lapply(ring_werte, function(rw) {
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d = data.frame(x = rw * cos(winkel), y = rw * sin(winkel), ring = rw)
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rbind(d, d[1, ])
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}))
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achsen_df = data.frame(x0 = 0, y0 = 0, x1 = 32 * cos(winkel), y1 = 32 * sin(winkel))
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label_r = 32 + 7
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label_df = data.frame(
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x = label_r * cos(winkel),
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y = label_r * sin(winkel),
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label = paste0(
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oktanten_df$skala, ": ", round(oktanten_df$rohwert, 1),
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" (Stanine ", oktanten_df$stanine, ifelse(oktanten_df$anomalie, "*", ""), ")"
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)
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)
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ggplot() +
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geom_path(data = ring_df, aes(x = x, y = y, group = ring), color = "#DDDDDD") +
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geom_segment(data = achsen_df, aes(x = x0, y = y0, xend = x1, yend = y1), color = "#DDDDDD") +
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geom_polygon(data = polygon_df, aes(x = x, y = y),
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fill = AKZENT_FARBE, alpha = 0.3, color = AKZENT_FARBE, linewidth = 1) +
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geom_point(data = punkte, aes(x = x, y = y, color = kategorie), size = 3) +
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geom_text(data = label_df, aes(x = x, y = y, label = label), size = 3.3, lineheight = 0.9) +
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scale_color_manual(values = IIPC_STANINE_FARBEN, guide = "none") +
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coord_fixed(xlim = c(-48, 48), ylim = c(-48, 48), clip = "off") +
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theme_void()
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}
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# Datenaufbereitung ####
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IIPC_NORMTABELLEN_DATEIEN = c(
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PA = "iipc_pa.csv", BC = "iipc_bc.csv", DE = "iipc_de.csv", FG = "iipc_fg.csv",
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HI = "iipc_hi.csv", JK = "iipc_jk.csv", LM = "iipc_lm.csv", NO = "iipc_no.csv",
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IIPges = "iipc_iipges.csv"
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)
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if (!dir.exists(PFAD_NORMTABELLEN_ORDNER)) {
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stop(sprintf(
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"Normtabellen-Ordner nicht gefunden. Erwarteter Pfad: '%s'. Ohne diese 9 CSV-Dateien ist keine Stanine-Bestimmung möglich.",
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PFAD_NORMTABELLEN_ORDNER
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))
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}
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IIPC_NORMTABELLEN = list()
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for (schluessel in names(IIPC_NORMTABELLEN_DATEIEN)) {
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dateipfad = file.path(PFAD_NORMTABELLEN_ORDNER, IIPC_NORMTABELLEN_DATEIEN[[schluessel]])
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if (!file.exists(dateipfad)) {
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stop(sprintf(
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"Normtabelle fehlt: '%s'. Erwarteter Pfad: '%s'.",
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IIPC_NORMTABELLEN_DATEIEN[[schluessel]], dateipfad
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))
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}
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IIPC_NORMTABELLEN[[schluessel]] = read.csv(dateipfad, stringsAsFactors = FALSE)
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}
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# UI ####
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app_css = "
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body { font-family: 'Segoe UI', Arial, sans-serif; background: #f5f5f5; }
|
|
|
|
|
.app-header {
|
|
|
|
|
background: #8B2635; color: white; padding: 18px 24px 14px;
|
|
|
|
|
margin-bottom: 20px; border-radius: 0 0 6px 6px;
|
|
|
|
|
}
|
|
|
|
|
.app-header h2 { margin: 0; font-size: 1.5rem; font-weight: 600; }
|
|
|
|
|
.app-header p { margin: 4px 0 0; opacity: 0.85; font-size: 0.9rem; }
|
|
|
|
|
.input-panel {
|
|
|
|
|
background: white; border-radius: 6px; padding: 16px 20px;
|
|
|
|
|
margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.12);
|
|
|
|
|
display: flex; align-items: flex-end; gap: 12px; flex-wrap: wrap;
|
|
|
|
|
}
|
|
|
|
|
.input-panel .form-group { margin-bottom: 0; }
|
|
|
|
|
.input-panel label { font-weight: 600; color: #333; }
|
|
|
|
|
.btn-laden {
|
|
|
|
|
background: #8B2635 !important; color: white !important;
|
|
|
|
|
border: none !important; border-radius: 4px !important;
|
|
|
|
|
padding: 8px 20px !important; font-weight: 600 !important; cursor: pointer;
|
|
|
|
|
}
|
|
|
|
|
.btn-laden:hover { background: #6d1e29 !important; }
|
|
|
|
|
#download_word {
|
|
|
|
|
background: #8B2635; color: white; border: none;
|
|
|
|
|
font-weight: 600; padding: 8px 20px; border-radius: 4px;
|
|
|
|
|
}
|
|
|
|
|
#download_word:hover { background: #6d1e29; color: white; }
|
|
|
|
|
.alert-fehler {
|
|
|
|
|
background: #FFEBEE; border-left: 5px solid #C62828;
|
|
|
|
|
padding: 12px 16px; border-radius: 4px; color: #B71C1C;
|
|
|
|
|
margin-bottom: 12px; font-weight: 500;
|
|
|
|
|
}
|
|
|
|
|
.alert-warnung {
|
|
|
|
|
background: #FFF3E0; border-left: 5px solid #E65100;
|
|
|
|
|
padding: 10px 16px; border-radius: 4px; color: #BF360C;
|
|
|
|
|
margin-bottom: 12px; font-size: 0.93em; font-weight: 500;
|
|
|
|
|
}
|
|
|
|
|
.abschnitt-karte {
|
|
|
|
|
background: white; border-radius: 6px; padding: 20px 24px;
|
|
|
|
|
margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.12);
|
|
|
|
|
}
|
|
|
|
|
.abschnitt-titel {
|
|
|
|
|
color: #8B2635; font-size: 1.15rem; font-weight: 700;
|
|
|
|
|
border-bottom: 2px solid #8B2635; padding-bottom: 8px; margin-bottom: 14px;
|
|
|
|
|
}
|
|
|
|
|
.meta-block { margin-bottom: 10px; color: #555; font-size: 0.95em; }
|
|
|
|
|
.meta-block strong { color: #222; }
|
|
|
|
|
.score-zahl { font-size: 2.2rem; font-weight: 800; color: #8B2635; }
|
|
|
|
|
.tabelle-skalen { width: 100%; border-collapse: collapse; margin-top: 4px; }
|
|
|
|
|
.tabelle-skalen th, .tabelle-skalen td {
|
|
|
|
|
padding: 7px 10px; border-bottom: 1px solid #eee; text-align: left; font-size: 0.93em;
|
|
|
|
|
}
|
|
|
|
|
.tabelle-skalen th { background: #8B2635; color: white; font-weight: 600; }
|
|
|
|
|
.stanine-badge {
|
|
|
|
|
border-radius: 12px; padding: 2px 12px; font-weight: 700;
|
|
|
|
|
font-size: 0.85em; white-space: nowrap; display: inline-block;
|
|
|
|
|
}
|
|
|
|
|
.stanine-badge-niedrig { background: #4CAF50; color: white; }
|
|
|
|
|
.stanine-badge-mittel { background: #9E9E9E; color: white; }
|
|
|
|
|
.stanine-badge-hoch { background: #B71C1C; color: white; }
|
|
|
|
|
.item-zeile {
|
|
|
|
|
display: flex; align-items: flex-start; gap: 10px;
|
|
|
|
|
padding: 6px 0; border-bottom: 1px solid #F0F0F0;
|
|
|
|
|
}
|
|
|
|
|
.item-nr { font-weight: 600; color: #8B2635; min-width: 30px; flex-shrink: 0; }
|
|
|
|
|
.item-text { flex: 1; color: #333; font-size: 0.92em; }
|
|
|
|
|
.stufe-badge {
|
|
|
|
|
border-radius: 4px; padding: 2px 9px; font-weight: 700;
|
|
|
|
|
font-size: 0.82em; white-space: nowrap; display: inline-block; flex-shrink: 0;
|
|
|
|
|
}
|
|
|
|
|
.stufe-badge-0 { background: #4CAF50; color: white; }
|
|
|
|
|
.stufe-badge-1 { background: #F48FB1; color: #333333; }
|
|
|
|
|
.stufe-badge-2 { background: #EF5350; color: white; }
|
|
|
|
|
.stufe-badge-3 { background: #B71C1C; color: white; }
|
|
|
|
|
.stufe-badge-4 { background: #4A0000; color: white; }
|
|
|
|
|
.stufe-badge-fehlend { background: #E0E0E0; color: #444444; }
|
|
|
|
|
details summary {
|
|
|
|
|
cursor: pointer; font-weight: 600; color: #8B2635; padding: 6px 0;
|
|
|
|
|
}
|
|
|
|
|
"
|
|
|
|
|
app_css = gsub("#8B2635", AKZENT_FARBE, app_css, fixed = TRUE)
|
|
|
|
|
|
|
|
|
|
ui = fluidPage(
|
|
|
|
|
tags$head(
|
|
|
|
|
tags$meta(charset = "UTF-8"),
|
|
|
|
|
tags$style(HTML(app_css))
|
|
|
|
|
),
|
|
|
|
|
|
|
|
|
|
div(class = "app-header",
|
|
|
|
|
tags$h2("IIP-C – Inventar zur Erfassung Interpersonaler Probleme (Kurzform)"),
|
|
|
|
|
tags$p("Auswertung nach Oktantenskalen (PA–NO) und Gesamtwert (IIPges), ipsativ, mit Stanine-Normierung")
|
|
|
|
|
),
|
|
|
|
|
|
|
|
|
|
div(class = "container-fluid",
|
|
|
|
|
|
|
|
|
|
div(class = "input-panel",
|
|
|
|
|
div(style = "min-width: 360px; white-space: nowrap;",
|
|
|
|
|
textInput("pseudonym",
|
|
|
|
|
label = tagList(
|
|
|
|
|
"Pseudonym",
|
|
|
|
|
tags$span(style = "font-weight: normal; font-style: italic; font-size: 0.78em; color: #888; margin-left: 4px; white-space: nowrap;",
|
|
|
|
|
"optional, hat Vorrang vor Chiffre")
|
|
|
|
|
),
|
|
|
|
|
placeholder = "optional", width = "340px")
|
|
|
|
|
),
|
|
|
|
|
div(style = "min-width: 200px;",
|
|
|
|
|
textInput("chiffre", label = "Patientenchiffre",
|
|
|
|
|
placeholder = "z.B. P000123", width = "100%")
|
|
|
|
|
),
|
|
|
|
|
actionButton("btn_suchen", "Auswerten", class = "btn btn-primary btn-laden"),
|
|
|
|
|
div(style = "margin-left: auto;",
|
|
|
|
|
downloadButton("download_word", "Word-Export (.docx)")
|
|
|
|
|
)
|
|
|
|
|
),
|
|
|
|
|
|
|
|
|
|
uiOutput("fehler_ui"),
|
|
|
|
|
uiOutput("warnung_ui"),
|
|
|
|
|
uiOutput("ergebnis_ui")
|
|
|
|
|
)
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
# Word-Export ####
|
|
|
|
|
|
|
|
|
|
erstelle_iipc_docx = function(erg) {
|
|
|
|
|
doc = read_docx()
|
|
|
|
|
|
|
|
|
|
fp_titel = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 18)
|
|
|
|
|
fp_abschnitt = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 13)
|
|
|
|
|
fp_label = fp_text(bold = TRUE, font.size = 11)
|
|
|
|
|
fp_normal = fp_text(font.size = 11)
|
|
|
|
|
fp_disclaimer = fp_text(font.size = 9, italic = TRUE, color = "#777777")
|
|
|
|
|
fp_warnung = fp_text(font.size = 10, italic = TRUE, color = "#BF360C")
|
|
|
|
|
|
|
|
|
|
geschlecht_anzeige = if (erg$geschlecht_key == "maenner") "männlich" else "weiblich"
|
|
|
|
|
|
|
|
|
|
doc = body_add_fpar(doc, fpar(ftext("IIP-C – Auswertung", fp_titel)))
|
|
|
|
|
doc = body_add_fpar(doc, fpar(
|
|
|
|
|
ftext("Chiffre: ", fp_label), ftext(erg$chiffre, fp_normal),
|
|
|
|
|
ftext(" Ausfülldatum: ", fp_label), ftext(erg$datum_str, fp_normal)
|
|
|
|
|
))
|
|
|
|
|
doc = body_add_fpar(doc, fpar(
|
|
|
|
|
ftext("Geschlecht: ", fp_label), ftext(geschlecht_anzeige, fp_normal),
|
|
|
|
|
ftext(" Alter: ", fp_label), ftext(as.character(erg$alter), fp_normal)
|
|
|
|
|
))
|
|
|
|
|
|
|
|
|
|
for (w in erg$warnungen) {
|
|
|
|
|
doc = body_add_fpar(doc, fpar(ftext(w, fp_warnung)))
|
|
|
|
|
}
|
|
|
|
|
doc = body_add_par(doc, "", style = "Normal")
|
|
|
|
|
|
|
|
|
|
bild_pfad = tempfile(fileext = ".png")
|
|
|
|
|
ggsave(bild_pfad, plot = make_circumplex_plot(erg$oktanten_df),
|
|
|
|
|
width = 6.5, height = 6.5, dpi = 150, bg = "white")
|
|
|
|
|
doc = body_add_img(doc, src = bild_pfad, width = 5.5, height = 5.5)
|
|
|
|
|
|
|
|
|
|
doc = body_add_fpar(doc, fpar(ftext("IIPges", fp_abschnitt)))
|
|
|
|
|
doc = body_add_fpar(doc, fpar(
|
|
|
|
|
ftext(paste0(round(erg$iipges, 2), " / 32 Stanine: ", erg$iipges_stanine),
|
|
|
|
|
fp_text(bold = TRUE, font.size = 12, color = AKZENT_FARBE))
|
|
|
|
|
))
|
|
|
|
|
doc = body_add_par(doc, "", style = "Normal")
|
|
|
|
|
|
|
|
|
|
doc = body_add_fpar(doc, fpar(ftext("Skalenübersicht", fp_abschnitt)))
|
|
|
|
|
for (i in seq_len(nrow(erg$oktanten_df))) {
|
|
|
|
|
z = erg$oktanten_df[i, ]
|
|
|
|
|
stanine_txt = paste0(z$stanine, if (z$anomalie) "*" else "")
|
|
|
|
|
doc = body_add_fpar(doc, fpar(
|
|
|
|
|
ftext(paste0(z$skala, " (", z$bezeichnung, "): "), fp_label),
|
|
|
|
|
ftext(paste0("Rohwert ", round(z$rohwert, 2), ", ipsativ ", round(z$ipsativ, 2),
|
|
|
|
|
", Stanine ", stanine_txt), fp_normal)
|
|
|
|
|
))
|
|
|
|
|
}
|
|
|
|
|
if (erg$anomalie_aktiv) {
|
|
|
|
|
doc = body_add_fpar(doc, fpar(ftext(IIPC_ANOMALIE_FUSSNOTE,
|
|
|
|
|
fp_text(font.size = 9, italic = TRUE, color = "#666666"))))
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
doc = body_add_par(doc, "", style = "Normal")
|
|
|
|
|
doc = body_add_fpar(doc, fpar(ftext(IIPC_DISCLAIMER, fp_disclaimer)))
|
|
|
|
|
|
|
|
|
|
doc
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
# Server ####
|
|
|
|
|
|
|
|
|
|
server = function(input, output, session) {
|
|
|
|
|
|
|
|
|
|
observe({
|
|
|
|
|
query = parseQueryString(session$clientData$url_search)
|
|
|
|
|
if (!is.null(query$pseudonym) && nchar(trimws(query$pseudonym)) > 0) {
|
|
|
|
|
updateTextInput(session, "pseudonym", value = trimws(query$pseudonym))
|
|
|
|
|
}
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
observe({
|
|
|
|
|
query = parseQueryString(session$clientData$url_search)
|
|
|
|
|
if (!is.null(query$chiffre) && nchar(trimws(query$chiffre)) > 0) {
|
|
|
|
|
updateTextInput(session, "chiffre", value = toupper(trimws(query$chiffre)))
|
|
|
|
|
}
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
# Skripte werden NICHT beim App-Start gesourct, nur beim Klick auf "Auswerten".
|
|
|
|
|
ergebnis_r = eventReactive(input$btn_suchen, {
|
|
|
|
|
|
|
|
|
|
chiffre = toupper(trimws(input$chiffre))
|
|
|
|
|
|
|
|
|
|
if (nchar(trimws(input$pseudonym)) == 0 && nchar(chiffre) == 0) {
|
|
|
|
|
return(list(typ = "leere_eingabe", meldung = "Bitte Chiffre oder Pseudonym eingeben."))
|
|
|
|
|
}
|
|
|
|
|
if (nchar(trimws(input$pseudonym)) == 0 && !grepl("^[A-Z][0-9]{6}$", chiffre)) {
|
|
|
|
|
return(list(typ = "format_fehler", chiffre = chiffre, meldung = paste0(
|
|
|
|
|
"Ungültige Chiffre '", chiffre, "'. Erwartetes Format: ein Großbuchstabe gefolgt von 6 Ziffern (z. B. P000123)."
|
|
|
|
|
)))
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (!file.exists(PFAD_DOWNLOAD_SKRIPT)) {
|
|
|
|
|
return(list(typ = "pfad_fehler",
|
|
|
|
|
meldung = paste0("Download-Skript nicht gefunden unter:\n", PFAD_DOWNLOAD_SKRIPT)))
|
|
|
|
|
}
|
|
|
|
|
if (!file.exists(PFAD_PSEUDONYM_SKRIPT)) {
|
|
|
|
|
return(list(typ = "pfad_fehler",
|
|
|
|
|
meldung = paste0("Pseudonym-Skript nicht gefunden unter:\n", PFAD_PSEUDONYM_SKRIPT)))
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
ok = tryCatch({
|
|
|
|
|
source(PFAD_DOWNLOAD_SKRIPT, local = FALSE)
|
|
|
|
|
list(ok = TRUE)
|
|
|
|
|
}, error = function(e) list(ok = FALSE, msg = e$message))
|
|
|
|
|
if (!ok$ok) return(list(typ = "skript_fehler", meldung = paste0("Fehler im Download-Skript: ", ok$msg)))
|
|
|
|
|
|
|
|
|
|
db_ordner = local({
|
|
|
|
|
ordner = dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
|
|
|
|
gefunden = NULL
|
|
|
|
|
for (i in 1:5) {
|
|
|
|
|
if (file.exists(file.path(ordner, "pseudonyme.db"))) { gefunden = ordner; break }
|
|
|
|
|
elternteil = dirname(ordner)
|
|
|
|
|
if (elternteil == ordner) break
|
|
|
|
|
ordner = elternteil
|
|
|
|
|
}
|
|
|
|
|
gefunden
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
alter_wd = getwd()
|
|
|
|
|
wd_ziel = if (!is.null(db_ordner)) db_ordner else
|
|
|
|
|
dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
|
|
|
|
on.exit(setwd(alter_wd), add = TRUE)
|
|
|
|
|
setwd(wd_ziel)
|
|
|
|
|
|
|
|
|
|
ok2 = tryCatch({
|
|
|
|
|
source(PFAD_PSEUDONYM_SKRIPT, local = FALSE)
|
|
|
|
|
list(ok = TRUE)
|
|
|
|
|
}, error = function(e) list(ok = FALSE, msg = e$message))
|
|
|
|
|
if (!ok2$ok) return(list(typ = "skript_fehler", meldung = paste0("Fehler im Pseudonym-Skript: ", ok2$msg)))
|
|
|
|
|
|
|
|
|
|
if (!exists("daten_iipc", envir = .GlobalEnv)) {
|
|
|
|
|
return(list(typ = "objekt_fehler",
|
|
|
|
|
meldung = "Objekt 'daten_iipc' wurde nach dem Sourcen des Download-Skripts nicht gefunden."))
|
|
|
|
|
}
|
|
|
|
|
if (!exists("pseudo", envir = .GlobalEnv)) {
|
|
|
|
|
return(list(typ = "objekt_fehler",
|
|
|
|
|
meldung = "Objekt 'pseudo' wurde nach dem Sourcen des Pseudonym-Skripts nicht gefunden."))
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
daten = get("daten_iipc", envir = .GlobalEnv)
|
|
|
|
|
pseudo_df = get("pseudo", envir = .GlobalEnv)
|
|
|
|
|
|
|
|
|
|
if (nchar(trimws(input$pseudonym)) > 0) {
|
|
|
|
|
pw_treffer = pseudo_df[pseudo_df$pseudonym == trimws(input$pseudonym), ]
|
|
|
|
|
if (nrow(pw_treffer) > 0) chiffre = toupper(trimws(pw_treffer$chiffre[1]))
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
treffer_pseudo = pseudo_df[pseudo_df$chiffre == chiffre, ]
|
|
|
|
|
if (nrow(treffer_pseudo) == 0) {
|
|
|
|
|
return(list(typ = "chiffre_unbekannt",
|
|
|
|
|
meldung = paste0("Chiffre '", chiffre, "' wurde in der Pseudonym-Datenbank nicht gefunden.")))
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
alle_session_ids = unique(treffer_pseudo$pseudonym)
|
|
|
|
|
if (nchar(trimws(input$pseudonym)) > 0) alle_session_ids = trimws(input$pseudonym)
|
|
|
|
|
|
|
|
|
|
treffer_daten = daten[daten$session %in% alle_session_ids, ]
|
|
|
|
|
if (nrow(treffer_daten) == 0) {
|
|
|
|
|
return(list(typ = "kein_datensatz", meldung = paste0(
|
|
|
|
|
"Kein IIP-C-Datensatz für Chiffre '", chiffre, "' gefunden. (",
|
|
|
|
|
length(alle_session_ids), " Pseudonym(e) geprüft)"
|
|
|
|
|
)))
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
warnungen = c()
|
|
|
|
|
|
|
|
|
|
if (nrow(treffer_daten) > 1) {
|
|
|
|
|
zeitspalte = if ("created" %in% colnames(treffer_daten)) "created"
|
|
|
|
|
else if ("ended" %in% colnames(treffer_daten)) "ended"
|
|
|
|
|
else NA_character_
|
|
|
|
|
if (!is.na(zeitspalte)) {
|
|
|
|
|
treffer_daten = treffer_daten[order(treffer_daten[[zeitspalte]], decreasing = TRUE), ]
|
|
|
|
|
datum_neu = tryCatch(
|
|
|
|
|
format(as.POSIXct(treffer_daten[[zeitspalte]][1]), "%d.%m.%Y %H:%M"),
|
|
|
|
|
error = function(e) "unbekanntes Datum"
|
|
|
|
|
)
|
|
|
|
|
warnungen = c(warnungen, paste0(
|
|
|
|
|
"Mehrere Ausfüllungen gefunden (", nrow(treffer_daten), " Einträge). ",
|
|
|
|
|
"Angezeigt wird die neueste vom ", datum_neu, "."
|
|
|
|
|
))
|
|
|
|
|
} else {
|
|
|
|
|
warnungen = c(warnungen, paste0(
|
|
|
|
|
"Mehrere Ausfüllungen gefunden (", nrow(treffer_daten), " Einträge), keine Zeitstempelspalte ",
|
|
|
|
|
"zur Auswahl der neuesten gefunden. Der erste Treffer wird angezeigt."
|
|
|
|
|
))
|
|
|
|
|
}
|
|
|
|
|
treffer_daten = treffer_daten[1, , drop = FALSE]
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
zeile = treffer_daten[1, , drop = FALSE]
|
|
|
|
|
|
|
|
|
|
# Ausfuelldatum defensiv: 'created' -> 'ended' -> Sys.Date() mit sichtbarer Warnung.
|
|
|
|
|
ausfuelldatum = NULL
|
|
|
|
|
if ("created" %in% colnames(zeile) && !is.na(zeile[["created"]][1])) {
|
|
|
|
|
ausfuelldatum = tryCatch(as.POSIXct(zeile[["created"]][1]), error = function(e) NULL)
|
|
|
|
|
}
|
|
|
|
|
if (is.null(ausfuelldatum) && "ended" %in% colnames(zeile) && !is.na(zeile[["ended"]][1])) {
|
|
|
|
|
ausfuelldatum = tryCatch(as.POSIXct(zeile[["ended"]][1]), error = function(e) NULL)
|
|
|
|
|
}
|
|
|
|
|
if (is.null(ausfuelldatum)) {
|
|
|
|
|
ausfuelldatum = Sys.time()
|
|
|
|
|
warnungen = c(warnungen, paste0(
|
|
|
|
|
"Ausfülldatum konnte nicht aus den Exportdaten ermittelt werden ('created'/'ended' fehlen ",
|
|
|
|
|
"oder sind leer) - Downloaddatum wird stattdessen verwendet."
|
|
|
|
|
))
|
|
|
|
|
}
|
|
|
|
|
datum_str = format(as.POSIXct(ausfuelldatum), "%d.%m.%Y")
|
|
|
|
|
|
|
|
|
|
geschlecht_key = iipc_get_geschlecht(daten[["iipc_geschlecht"]], zeile[["iipc_geschlecht"]])
|
|
|
|
|
alter = suppressWarnings(as.numeric(zeile[["iipc_alter"]][1]))
|
|
|
|
|
|
|
|
|
|
if (is.na(geschlecht_key)) {
|
|
|
|
|
return(list(typ = "daten_fehler", meldung = paste0(
|
|
|
|
|
"Geschlecht konnte nicht aus 'iipc_geschlecht' ermittelt werden (labels-Attribut fehlt oder ",
|
|
|
|
|
"enthält keinen der erwarteten Werte 'männlich'/'weiblich')."
|
|
|
|
|
)))
|
|
|
|
|
}
|
|
|
|
|
if (is.na(alter)) {
|
|
|
|
|
return(list(typ = "daten_fehler", meldung = "Alter konnte nicht aus 'iipc_alter' ermittelt werden."))
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
alterskategorie = iipc_alterskategorie(alter)
|
|
|
|
|
norm_spalte = iipc_norm_spalte(geschlecht_key, alterskategorie)
|
|
|
|
|
|
|
|
|
|
item_vars = paste0("iipc_", sprintf("%02d", 1:64))
|
|
|
|
|
item_werte = sapply(item_vars, function(v) iipc_get_level(daten[[v]], zeile[[v]]))
|
|
|
|
|
names(item_werte) = as.character(1:64)
|
|
|
|
|
|
|
|
|
|
n_fehlend = sum(is.na(item_werte))
|
|
|
|
|
if (n_fehlend >= 4) warnungen = c(IIPC_MISSING_WARNUNG, warnungen)
|
|
|
|
|
|
|
|
|
|
oktanten_rohwerte = sapply(IIPC_SKALEN_REIHENFOLGE, function(sk) {
|
|
|
|
|
sum(item_werte[as.character(IIPC_SKALEN_ITEMS[[sk]])], na.rm = TRUE)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
iipges = sum(oktanten_rohwerte) / 8
|
|
|
|
|
|
|
|
|
|
oktanten_df = data.frame(
|
|
|
|
|
skala = IIPC_SKALEN_REIHENFOLGE,
|
|
|
|
|
bezeichnung = unname(IIPC_SKALEN_NAMEN[IIPC_SKALEN_REIHENFOLGE]),
|
|
|
|
|
rohwert = unname(oktanten_rohwerte),
|
|
|
|
|
stringsAsFactors = FALSE
|
|
|
|
|
)
|
|
|
|
|
oktanten_df$ipsativ = oktanten_df$rohwert - iipges
|
|
|
|
|
|
|
|
|
|
oktanten_df$stanine = vapply(seq_len(nrow(oktanten_df)), function(i) {
|
|
|
|
|
tabelle = IIPC_NORMTABELLEN[[oktanten_df$skala[i]]]
|
|
|
|
|
iipc_stanine(tabelle, norm_spalte, oktanten_df$ipsativ[i])
|
|
|
|
|
}, integer(1))
|
|
|
|
|
|
|
|
|
|
oktanten_df$anomalie = vapply(seq_len(nrow(oktanten_df)), function(i) {
|
|
|
|
|
iipc_ist_anomalie(oktanten_df$skala[i], norm_spalte)
|
|
|
|
|
}, logical(1))
|
|
|
|
|
|
|
|
|
|
oktanten_df$kategorie = vapply(oktanten_df$stanine, iipc_stanine_kategorie, character(1))
|
|
|
|
|
|
|
|
|
|
iipges_tabelle = IIPC_NORMTABELLEN[["IIPges"]]
|
|
|
|
|
iipges_stanine = iipc_stanine(iipges_tabelle, norm_spalte, iipges)
|
|
|
|
|
iipges_kategorie = iipc_stanine_kategorie(iipges_stanine)
|
|
|
|
|
|
|
|
|
|
anomalie_aktiv = any(oktanten_df$anomalie)
|
|
|
|
|
|
|
|
|
|
item_info = data.frame(
|
|
|
|
|
item_nr = 1:64,
|
|
|
|
|
var = item_vars,
|
|
|
|
|
stringsAsFactors = FALSE
|
|
|
|
|
)
|
|
|
|
|
item_info$skala = vapply(item_info$item_nr, function(i) {
|
|
|
|
|
treffer = names(IIPC_SKALEN_ITEMS)[vapply(IIPC_SKALEN_ITEMS, function(v) i %in% v, logical(1))]
|
|
|
|
|
if (length(treffer) == 0) NA_character_ else treffer[1]
|
|
|
|
|
}, character(1))
|
|
|
|
|
item_info$text = vapply(item_info$var, function(v) iipc_item_text(daten, v), character(1))
|
|
|
|
|
item_info$wert = unname(item_werte[as.character(item_info$item_nr)])
|
|
|
|
|
item_info$anker = vapply(seq_len(nrow(item_info)), function(i) {
|
|
|
|
|
iipc_get_anker(daten[[item_info$var[i]]], zeile[[item_info$var[i]]], item_info$wert[i])
|
|
|
|
|
}, character(1))
|
|
|
|
|
|
|
|
|
|
list(
|
|
|
|
|
typ = "ok",
|
|
|
|
|
chiffre = chiffre,
|
|
|
|
|
datum_str = datum_str,
|
|
|
|
|
warnungen = warnungen,
|
|
|
|
|
geschlecht_key = geschlecht_key,
|
|
|
|
|
alter = alter,
|
|
|
|
|
norm_spalte = norm_spalte,
|
|
|
|
|
item_werte = item_werte,
|
|
|
|
|
n_fehlend = n_fehlend,
|
|
|
|
|
oktanten_df = oktanten_df,
|
|
|
|
|
iipges = iipges,
|
|
|
|
|
iipges_stanine = iipges_stanine,
|
|
|
|
|
iipges_kategorie = iipges_kategorie,
|
|
|
|
|
anomalie_aktiv = anomalie_aktiv,
|
|
|
|
|
item_info = item_info
|
|
|
|
|
)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
output$fehler_ui = renderUI({
|
|
|
|
|
req(input$btn_suchen)
|
|
|
|
|
d = ergebnis_r()
|
|
|
|
|
if (d$typ != "ok") div(class = "alert-fehler", d$meldung) else NULL
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
output$warnung_ui = renderUI({
|
|
|
|
|
req(input$btn_suchen)
|
|
|
|
|
d = ergebnis_r()
|
|
|
|
|
if (d$typ != "ok" || length(d$warnungen) == 0) return(NULL)
|
|
|
|
|
tagList(lapply(d$warnungen, function(w) div(class = "alert-warnung", w)))
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
output$ergebnis_ui = renderUI({
|
|
|
|
|
req(input$btn_suchen)
|
|
|
|
|
d = ergebnis_r()
|
|
|
|
|
if (d$typ != "ok") return(NULL)
|
|
|
|
|
|
|
|
|
|
geschlecht_anzeige = if (d$geschlecht_key == "maenner") "männlich" else "weiblich"
|
|
|
|
|
|
|
|
|
|
tabelle_zeilen = lapply(seq_len(nrow(d$oktanten_df)), function(i) {
|
|
|
|
|
z = d$oktanten_df[i, ]
|
|
|
|
|
tags$tr(
|
|
|
|
|
tags$td(z$skala),
|
|
|
|
|
tags$td(z$bezeichnung),
|
|
|
|
|
tags$td(round(z$rohwert, 2)),
|
|
|
|
|
tags$td(round(z$ipsativ, 2)),
|
|
|
|
|
tags$td(
|
|
|
|
|
span(class = paste0("stanine-badge stanine-badge-", z$kategorie),
|
|
|
|
|
paste0(z$stanine, if (z$anomalie) "*" else ""))
|
|
|
|
|
)
|
|
|
|
|
)
|
|
|
|
|
})
|
|
|
|
|
tabelle_zeilen = c(tabelle_zeilen, list(
|
|
|
|
|
tags$tr(
|
|
|
|
|
tags$td(tags$strong("IIPges")),
|
|
|
|
|
tags$td(""),
|
|
|
|
|
tags$td(round(d$iipges, 2)),
|
|
|
|
|
tags$td("–"),
|
|
|
|
|
tags$td(
|
|
|
|
|
span(class = paste0("stanine-badge stanine-badge-", d$iipges_kategorie), d$iipges_stanine)
|
|
|
|
|
)
|
|
|
|
|
)
|
|
|
|
|
))
|
|
|
|
|
|
|
|
|
|
items_sektionen = lapply(IIPC_SKALEN_REIHENFOLGE, function(sk) {
|
|
|
|
|
items_sk = d$item_info[d$item_info$skala == sk, ]
|
|
|
|
|
tags$details(
|
|
|
|
|
tags$summary(paste0(sk, " – ", IIPC_SKALEN_NAMEN[[sk]])),
|
|
|
|
|
lapply(seq_len(nrow(items_sk)), function(i) {
|
|
|
|
|
it = items_sk[i, ]
|
|
|
|
|
sk_wert = if (!is.na(it$wert) && it$wert >= 0 && it$wert <= 4) as.character(it$wert) else "fehlend"
|
|
|
|
|
badge_txt = if (sk_wert == "fehlend") "fehlend" else paste0(it$wert, " – ", it$anker)
|
|
|
|
|
div(class = "item-zeile",
|
|
|
|
|
div(class = "item-nr", paste0(it$item_nr, ".")),
|
|
|
|
|
div(class = "item-text", it$text),
|
|
|
|
|
span(class = paste0("stufe-badge stufe-badge-", sk_wert), badge_txt)
|
|
|
|
|
)
|
|
|
|
|
})
|
|
|
|
|
)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
div(class = "abschnitt-karte",
|
|
|
|
|
div(class = "abschnitt-titel", "IIP-C Auswertung"),
|
|
|
|
|
|
|
|
|
|
div(class = "meta-block",
|
|
|
|
|
tags$strong("Chiffre: "), d$chiffre,
|
|
|
|
|
tags$span(" | ", style = "color:#ccc;"),
|
|
|
|
|
tags$strong("Ausfülldatum: "), d$datum_str,
|
|
|
|
|
tags$span(" | ", style = "color:#ccc;"),
|
|
|
|
|
tags$strong("Geschlecht: "), geschlecht_anzeige,
|
|
|
|
|
tags$span(" | ", style = "color:#ccc;"),
|
|
|
|
|
tags$strong("Alter: "), d$alter
|
|
|
|
|
),
|
|
|
|
|
|
|
|
|
|
tags$hr(),
|
|
|
|
|
|
|
|
|
|
fluidRow(
|
|
|
|
|
column(3,
|
|
|
|
|
div(class = "score-zahl", round(d$iipges, 2)),
|
|
|
|
|
div("IIPges (0–32)", style = "color:#555;"),
|
|
|
|
|
div(style = "margin-top: 6px;",
|
|
|
|
|
span(class = paste0("stanine-badge stanine-badge-", d$iipges_kategorie),
|
|
|
|
|
paste0("Stanine ", d$iipges_stanine))
|
|
|
|
|
)
|
|
|
|
|
),
|
|
|
|
|
column(9, plotOutput("circumplex_plot", height = "460px"))
|
|
|
|
|
),
|
|
|
|
|
|
|
|
|
|
tags$hr(),
|
|
|
|
|
|
|
|
|
|
div(class = "abschnitt-titel", "Skalenübersicht"),
|
|
|
|
|
tags$table(class = "tabelle-skalen",
|
|
|
|
|
tags$thead(tags$tr(
|
|
|
|
|
tags$th("Kürzel"), tags$th("Bezeichnung"), tags$th("Rohwert"),
|
|
|
|
|
tags$th("Ipsativer Wert"), tags$th("Stanine")
|
|
|
|
|
)),
|
|
|
|
|
tags$tbody(tabelle_zeilen)
|
|
|
|
|
),
|
|
|
|
|
if (d$anomalie_aktiv) div(class = "alert-warnung", style = "margin-top: 12px;", IIPC_ANOMALIE_FUSSNOTE),
|
|
|
|
|
|
|
|
|
|
tags$hr(),
|
|
|
|
|
|
|
|
|
|
div(class = "abschnitt-titel", "Einzelitems nach Skala"),
|
|
|
|
|
items_sektionen
|
|
|
|
|
)
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
output$circumplex_plot = renderPlot({
|
|
|
|
|
req(input$btn_suchen)
|
|
|
|
|
d = ergebnis_r()
|
|
|
|
|
req(identical(d$typ, "ok"))
|
|
|
|
|
make_circumplex_plot(d$oktanten_df)
|
|
|
|
|
}, bg = "transparent")
|
|
|
|
|
|
|
|
|
|
output$download_word = downloadHandler(
|
|
|
|
|
filename = function() {
|
|
|
|
|
d = tryCatch(ergebnis_r(), error = function(e) NULL)
|
|
|
|
|
chiffre_esc = if (is.list(d) && identical(d$typ, "ok")) gsub("[^A-Za-z0-9]", "", d$chiffre) else "export"
|
|
|
|
|
datum = if (is.list(d) && identical(d$typ, "ok") && !is.null(d$datum_str))
|
|
|
|
|
tryCatch(format(as.Date(d$datum_str, "%d.%m.%Y"), "%Y%m%d"), error = function(e) format(Sys.Date(), "%Y%m%d"))
|
|
|
|
|
else format(Sys.Date(), "%Y%m%d")
|
|
|
|
|
paste0("IIPC_", chiffre_esc, "_", datum, ".docx")
|
|
|
|
|
},
|
|
|
|
|
content = function(file) {
|
|
|
|
|
d = tryCatch(ergebnis_r(), error = function(e) NULL)
|
|
|
|
|
daten_ok = is.list(d) && identical(d$typ, "ok")
|
|
|
|
|
if (!daten_ok) {
|
|
|
|
|
doc = read_docx()
|
|
|
|
|
doc = body_add_par(doc,
|
|
|
|
|
"Kein Datensatz geladen. Bitte zuerst Chiffre oder Pseudonym eingeben und 'Auswerten' klicken.",
|
|
|
|
|
style = "Normal")
|
|
|
|
|
print(doc, target = file)
|
|
|
|
|
return()
|
|
|
|
|
}
|
|
|
|
|
doc = tryCatch(
|
|
|
|
|
erstelle_iipc_docx(d),
|
|
|
|
|
error = function(e) {
|
|
|
|
|
err_doc = read_docx()
|
|
|
|
|
body_add_par(err_doc,
|
|
|
|
|
paste0("Fehler beim Erstellen des Word-Dokuments: ", e$message),
|
|
|
|
|
style = "Normal")
|
|
|
|
|
}
|
|
|
|
|
)
|
|
|
|
|
print(doc, target = file)
|
|
|
|
|
}
|
|
|
|
|
)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
# Start ####
|
|
|
|
|
|
|
|
|
|
shinyApp(ui, server)
|
