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srvSheet.R
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srvSheet.R
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# show available data in an Excel like UI
# last update: 2016-10-10
values = reactiveValues()
setHot = function(x) values[["dataSheet"]] = x
preserveDate <- function(data, fieldTypes){
d <- as.list(data)
if('date' %in% fieldTypes){
d[fieldTypes == 'date'] <-
as.character(d[fieldTypes == 'date'][[1]])
}
d
}
preserveUTF8 <- function(data, fieldTypes){
d <- as.list(data)
for(i in 1:length(d)){
if(fieldTypes[i] == 'string'){
if(Encoding(as.character(d[i][[1]])) != 'UTF-8'){
d[i] <- iconv(as.character(d[i][[1]]),
from='latin1',
to='UTF-8')
}
}
}
d
}
bulkUpdateItems <- function(sheetData, repo, fields, fieldTypes){
app <- currApp()
if(length(all.equal(app, logical(0)))>1){
piaData <- repoData(repo)
repoUrl <- itemsUrl(app[['url']], repo)
sheetDigest <- createDigest(sheetData, fields)
piaDigest <- createDigest(piaData, fields)
removePiaData <-
piaData[!(piaDigest$digest %in% sheetDigest$digest), ,
drop=FALSE]
createPiaData <-
sheetData[!(sheetDigest$digest %in% piaDigest$digest), ,
drop=FALSE]
recCnt <- nrow(removePiaData) + nrow(createPiaData)
if(recCnt > 0){
withProgress(message='Daten aktualisieren',
max=recCnt, {
cnt <- 0
if(nrow(removePiaData) > 0){
for(i in 1:nrow(removePiaData)){
cnt <- cnt + 1
id <- removePiaData[i, 'id']
deleteItem(app, repoUrl, id)
setProgress(value=cnt,
detail=paste0(cnt, '/', recCnt,
' Datensätze'))
}
}
if(nrow(createPiaData) > 0){
for(i in 1:nrow(createPiaData)){
cnt <- cnt + 1
myTmp <- createPiaData[i, fields, drop=FALSE]
dataItem <- preserveUTF8(
preserveDate(
createPiaData[i, fields, drop=FALSE],
fieldTypes),
fieldTypes)
dataItem <- appData(dataItem)
writeItem(app, repoUrl, dataItem)
setProgress(value=cnt,
detail=paste0(cnt, '/', recCnt,
' Datensätze'))
}
}
}
)
tmp <- as.data.frame(as.matrix(appRepos))
writeLog(
paste0(names(tmp[tmp$V1 == repo, ]),
': ',
'Änderungen im Datenblatt gespeichert (',
nrow(removePiaData),
' Datensätze gelöscht, ',
nrow(createPiaData),
' Datensätze erstellt)'))
}
}
}
rhotRender <- function(DF, fieldWidths){
setHot(DF)
if(nrow(DF)>20) {
rhandsontable(DF, useTypes=TRUE, height=400) %>%
hot_table(highlightCol=TRUE, highlightRow=TRUE,
allowRowEdit=TRUE) %>%
hot_cols(colWidths=fieldWidths)
} else {
rhandsontable(DF, useTypes=TRUE) %>%
hot_table(highlightCol=TRUE, highlightRow=TRUE,
allowRowEdit=TRUE) %>%
hot_cols(colWidths=fieldWidths)
}
}
hot_dat2DF <- function(data, repoStruct, orderDecreasing){
DF <- data.frame()
fields <- repoStruct[['fields']]
fieldKey <- repoStruct[['fieldKey']]
fieldTypes <- repoStruct[['fieldTypes']]
fieldInits <- repoStruct[['fieldInits']]
fieldTitles <- repoStruct[['fieldTitles']]
initVal <- vector()
for(i in 1:length(fields)){
switch(fieldInits[i],
today = {
initVal <- c(initVal,
as.character(as.Date(Sys.Date())))
},
zero = {
initVal <- c(initVal,
0)
},
false = {
initVal <- c(initVal,
FALSE)
},
empty = {
initVal <- c(initVal,
'')
}
)
}
names(initVal) <- fields
initVal <- data.frame(lapply(initVal, type.convert),
stringsAsFactors=FALSE)
if(nrow(data) > 0){
data <- data[, fields, drop=FALSE]
data <- data[!is.na(data[fieldKey]), , drop=FALSE]
if(nrow(data) > 0){
if(fieldTypes[match(fieldKey, fields)] == 'date'){
data <- data[as.character(data[fieldKey]) != '', , drop=FALSE]
data <- data[as.character(data[fieldKey]) != 'NA', , drop=FALSE]
} else {
data <- data[data[fieldKey] != '', , drop=FALSE]
data <- data[data[fieldKey] != 'NA', , drop=FALSE]
}
}
DF <- rbind(data, initVal)
}
if(nrow(data) == 0){
DF <- initVal
}
for(i in 1:length(fields)){
switch(fieldTypes[i],
date = {
DF[, fields[i]] <-
as.Date(DF[, fields[i]],
origin="1970-01-01")
},
timestamp = {
DF[, fields[i]] <-
as.double(DF[, fields[i]])
},
boolean = {
DF[, fields[i]] <-
as.logical(DF[, fields[i]])
},
integer = {
DF[, fields[i]] <-
as.integer(DF[, fields[i]])
},
double = {
DF[, fields[i]] <-
as.double(DF[, fields[i]])
},
string = {
DF[, fields[i]] <-
as.character(DF[, fields[i]])
}
)
}
if(!missing(orderDecreasing)) {
if(nrow(DF) > 1){
DF <- DF[order(DF[, fieldKey, drop=FALSE],
decreasing = orderDecreasing), ,
drop=FALSE]
}
if(!is.null(nrow(DF))){
rownames(DF) <- 1:nrow(DF)
}
}
if(!is.null(nrow(DF))){
colnames(DF) <- fieldTitles
}
DF
}
observe({
if(!is.null(input$dataSheet)){
sheetRecords <- hot_to_r(input$dataSheet)
suppressWarnings(
values[["dataSheet"]] <- sheetRecords)
output$dataSheetDirty <- renderUI('Daten wurden geändert')
if(currRepoSelect != ''){
repoStruct <- getRepoStruct(currRepoSelect)
fields <- repoStruct[['fields']]
fieldWidths <- repoStruct[['fieldWidths']]
colnames(sheetRecords) <- fields
suppressWarnings(
DF <- hot_dat2DF(sheetRecords, repoStruct))
output$dataSheet <- renderRHandsontable({
rhotRender(DF, fieldWidths)
})
}
}
})
observeEvent(input$saveSheet, {
sheetRecords <- values[["dataSheet"]]
repoName <- input$repoSelect
repo <- appRepos[[repoName]]
repoStruct <- getRepoStruct(repoName)
fields <- repoStruct[['fields']]
fieldKey <- repoStruct[['fieldKey']]
fieldTypes <- repoStruct[['fieldTypes']]
fieldTitles <- repoStruct[['fieldTitles']]
fieldWidths <- repoStruct[['fieldWidths']]
if (!is.null(sheetRecords)) {
colnames(sheetRecords) <- fields
sheetRecords <-
sheetRecords[!is.na(sheetRecords[fieldKey]), ,
drop=FALSE]
bulkUpdateItems(sheetRecords,
repo,
fields,
fieldTypes)
output$dataSheet <- renderRHandsontable({
DF <- data.frame()
suppressWarnings(
DF <- hot_dat2DF(sheetRecords, repoStruct, TRUE))
rhotRender(DF, fieldWidths)
})
}
output$dataSheetDirty <- renderText('')
})
observeEvent(input$repoSelect, {
output$dataSheet <- renderRHandsontable({
drawDataSheet()
})
})
# render Excel View UI
output$dataSheet <- renderRHandsontable({
drawDataSheet()
})
drawDataSheet <- function(){
currRepoSelect <<- input$repoSelect
DF <- data.frame()
repo <- appRepos[[currRepoSelect]]
repoName <- currRepoSelect
repoStruct <- getRepoStruct(repoName)
fields <- repoStruct[['fields']]
fieldKey <- repoStruct[['fieldKey']]
fieldWidths <- repoStruct[['fieldWidths']]
data <- repoData(repo)
if(nrow(data) > 0){
if(is.null(data[[fieldKey]])){
data <- data.frame()
}
}
suppressWarnings(DF <- hot_dat2DF(data, repoStruct, TRUE))
rhotRender(DF, fieldWidths)
}
output$exportCSV <- downloadHandler(
filename = paste0(appName, '.csv'),
content = function(file) {
write.csv(values[["dataSheet"]], file)
}
)
writeLog <- function(logText){
app <- currApp()
if(length(all.equal(app, logical(0)))>1){
repoUrl <- itemsUrl(app[['url']],
appRepos[['Verlauf']])
dataItem <- list(
`_oydRepoName` = 'Protokoll',
date = as.character(Sys.time()),
description = logText)
writeItem(app, repoUrl, dataItem)
}
}