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appLogic.R
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# application specific logic
# last update: 2017-03-01
source('srvScheduler.R', local=TRUE)
# any record manipulations before storing a record
appData <- function(record){
record
}
getRepoStruct <- function(repo){
appStruct[[repo]]
}
repoData <- function(repo){
data <- data.frame()
app <- currApp()
if(length(app) > 0){
url <- itemsUrl(app[['url']],
repo)
data <- readItems(app, url)
}
data
}
# anything that should run only once during startup
appStart <- function(){
app <- currApp()
if(length(app) > 0){
# polliation options in chart
allItems <- readPlzItems()
plz <- allItems$plzCode
if(length(plz) > 0){
plzPollList <- c(apply(allItems, 1, function(x){
as.character(sort(mapply(
paste0,
rep(paste0(switch(x['country'],
'Österreich'='A-',
'Deutschland'='D-',
'Schweiz'='CH-',
{ '' } ),
x['plzCode']),
switch(x['country'],
'Österreich'={ length(pollenListAT) },
'Deutschland'={ length(pollenListDE) },
'Schweiz'={ length(pollenListCH) },
{ 0 } )),
': ',
rep(switch(x['country'],
'Österreich'={ pollenListAT },
'Deutschland'={ pollenListDE },
'Schweiz'={ pollenListCH },
{ data.frame() } ),
length(x['plzCode'])))))
}))
pollSelectDefault <- plzPollList[1]
updateSelectInput(
session,
'pollSelect',
choices = c('Pollen ausblenden', plzPollList),
selected = pollSelectDefault)
updateSelectInput(
session,
'pollTableSelect',
choices = c('persönliche Aufzeichnungen', plzPollList),
selected = 'persönliche Aufzeichnungen')
}
# Pollination selection in chart
url <- itemsUrl(app[['url']],
paste0(appKey, '.mobilechart_config'))
cfg <- readItems(app, url)
if(nrow(cfg) == 1){
updateSelectInput(session, 'pollSelect',
selected = cfg$pollSelect)
}
}
}
# get stored PLZs
readPlzItems <- function(){
app <- currApp()
plzItems <- data.frame()
if(length(app) > 0){
retVal <- readSchedulerItemsFunction()
if(nrow(retVal) > 0){
retVal <- retVal[retVal$task == 'Rscript', , drop = FALSE]
if(nrow(retVal) > 0){
plzItems <- retVal
rownames(plzItems) <- plzItems$name
plzItems <- plzItems[, c('parameters.replace.plz',
'parameters.replace.country',
'id')]
colnames(plzItems) <- c('plzCode', 'country', 'id')
}
}
}
plzItems
}
observeEvent(input$saveAllergyInput, {
app <- currApp()
if(length(app) > 0){
myDate <- as.character(input$dateInput)
# Befinden
url <- itemsUrl(app[['url']],
paste0(app[['app_key']], '.condition'))
data <- list(
date = myDate,
value = input$conditionInput,
'_oydRepoName' = 'Befinden')
writeItem(app, url, data)
# Medikamenteneinnahme
url <- itemsUrl(app[['url']],
paste0(app[['app_key']], '.medintake'))
data <- list(
date = myDate,
value = input$medInput,
'_oydRepoName' = 'Medikamenteneinnahme')
writeItem(app, url, data)
# Notiz
if(!is.na(input$diaryInput) &
(nchar(as.character(input$diaryInput)) > 0))
{
url <- itemsUrl(app[['url']],
paste0(app[['app_key']], '.diary'))
data <- list(
date = myDate,
value = input$diaryInput,
'_oydRepoName' = 'Tagebuch')
writeItem(app, url, data)
}
output$allergyInputStatus <- renderUI('Daten wurden erfolgreich gespeichert')
}
})
dateRangeSelect <- function(data, ts = TRUE){
if(nrow(data) > 0){
myRange <- c(mymin = as.Date(Sys.Date()),
mymax = as.Date(Sys.Date()))
switch(input$dateSelect,
'1' = { myRange <- c(mymin = as.Date(Sys.Date()-7),
mymax = as.Date(Sys.Date()+2)) },
'2' = { myRange <- c(mymin = as.Date(Sys.Date() - months(1)),
mymax = as.Date(Sys.Date()+2)) },
'3' = { myRange <- c(mymin = as.Date(Sys.Date() - months(2)),
mymax = as.Date(Sys.Date()+2)) },
'4' = { myRange <- c(mymin = as.Date(Sys.Date() - months(6)),
mymax = as.Date(Sys.Date()+2)) },
'5' = { myRange <- c(mymin = as.Date(paste(year(Sys.Date()),'1','1',sep='-')),
mymax = as.Date(paste(year(Sys.Date()),'12','31',sep='-'))) },
'6' = { myRange <- c(mymin = as.Date(Sys.Date() - months(12)),
mymax = as.Date(Sys.Date()+2)) },
'10'= { myRange <- c(mymin = as.Date('1970-01-01'),
mymax = as.Date('2070-01-01')) },
{})
mymin <- myRange['mymin']
mymax <- myRange['mymax']
daterange <- seq(mymin, mymax, 'days')
if(ts){
data[as.Date(as.POSIXct(data$timestamp, origin = '1970-01-01'))
%in% daterange, ]
} else {
data[as.Date(data$date) %in% daterange, ]
}
} else {
data.frame()
}
}
pollData <- function(pollSelect){
if(pollSelect == 'keine'){
data.frame()
} else {
location <- strsplit(pollSelect, ':')[[1]][1]
country <- strsplit(location, '-')[[1]][1]
plz <- strsplit(location, '-')[[1]][2]
typ <- trimws(strsplit(pollSelect, ':')[[1]][2])
repo <- paste0(app_id, '.pollination_', country, '-', plz)
data <- repoData(repo)
data <- data[data$pollType == typ, ]
if(nrow(data) > 0){
data$belastungTxt <- lapply(data$value, function(x){
switch(as.character(x),
'0'='keine Belastung',
'1'='niedrige Belastung',
'2'='mittlere Belastung',
'3'='hohe Belastung',
'4'='sehr hohe Belastung')})
data
} else {
data.frame()
}
}
}
observeEvent(input$pollSelect, {
app <- currApp()
if(length(app) > 0){
url <- itemsUrl(app[['url']],
paste0(appKey, '.mobilechart_config'))
cfg <- readItems(app, url)
if(nrow(cfg) > 1){
deleteRepo(app, url)
cfg <- data.frame()
}
data <- list(
pollSelect = input$pollSelect,
'_oydRepoName' = 'Konfiguration (Mobil)')
if(nrow(cfg) == 0){
writeItem(app, url, data)
} else {
updateItem(app, url, data, cfg$id)
}
}
})
output$trendChart <- renderPlotly({
pdf(NULL)
pollSelect <- input$pollSelect
pollData <- dateRangeSelect(pollData(pollSelect))
condData <- dateRangeSelect(
repoData('eu.ownyourdata.allergy.condition'), FALSE)
medData <- dateRangeSelect(
repoData('eu.ownyourdata.allergy.medintake'), FALSE)
# medData$medTxt <- ''
# medData[medData$value, 'medTxt'] <- 'Medikament eingenommen'
diaryData <- dateRangeSelect(
repoData('eu.ownyourdata.allergy.diary'), FALSE)
plotly_output <- FALSE
outputPlot <- plot_ly()
if(nrow(medData) > 0){
plotly_output <- TRUE
outputPlot <- plot_ly(x = as.POSIXct(medData$date),
y = as.integer(medData$value)*6,
type = 'bar',
name = 'Medikament',
text = 'Medikament eingenommen',
marker = list(color = 'rgb(158,202,225)'))
}
if(nrow(pollData) > 0){
plotly_output <- TRUE
outputPlot <- outputPlot %>%
add_lines(x = as.POSIXct(pollData$timestamp,
origin = '1970-01-01'),
y = as.numeric(pollData$value),
yaxis = 'y2',
name = paste0(substr(pollSelect, 1, 12), "\u2026"),
line=list(
width = 2,
color = 'red',
shape = 'spline')) %>%
add_markers(x = as.POSIXct(pollData$timestamp,
origin = '1970-01-01'),
y = as.numeric(pollData$value),
yaxis = 'y2',
name = '',
marker = list(
color='red',
size = 6),
text = paste0(
pollSelect, ' - ',
pollData$belastungTxt),
showlegend = FALSE)
}
if(nrow(condData) > 0){
plotly_output <- TRUE
outputPlot <- outputPlot %>%
add_lines(x = as.POSIXct(paste(as.Date(condData$date), "0:00")),
y = as.numeric(condData$value),
name = 'Befinden',
hoverinfo = 'text',
text = '',
line=list(
width = 3,
color = 'blue',
shape = 'spline'))
}
if(nrow(diaryData) > 0){
plotly_output <- TRUE
diaryCondData <- merge.data.frame(condData,
diaryData,
by='date',
all = TRUE)
colnames(diaryCondData) <- c('date', 'id', 'value', 'id2', 'diary')
diaryCondData$size <- 10
diaryCondData[is.na(diaryCondData$diary), 'size'] <- 6
outputPlot <- outputPlot %>%
add_markers(x = ~as.POSIXct(paste(as.Date(diaryCondData$date), "0:00")),
y = ~as.numeric(diaryCondData$value),
text = diaryCondData$diary,
marker = list(
color= 'blue',
size = diaryCondData$size),
name = 'Befinden',
showlegend = FALSE)
}
if(plotly_output){
outputPlot <- outputPlot %>%
layout( title = '',
xaxis = list(
title = '',
type = 'date',
tickformat = '%Y-%m-%d'),
yaxis = list(
title = '< besser - Befinden - schlechter >',
titlefont = list(
color='blue'),
range = c(0,6.5),
nticks = 1),
yaxis2 = list(
overlaying = 'y',
side = 'right',
title = 'Pollenbelastung',
range = c(-0.5, 4.5),
nticks = 6)
)
} else {
outputPlot <- plotly_empty()
}
dev.off()
outputPlot
})
output$tableList <- DT::renderDataTable(datatable({
switch(as.character(input$pollTableSelect),
'persönliche Aufzeichnungen'={
condData <- dateRangeSelect(
repoData('eu.ownyourdata.allergy.condition'), FALSE)
diaryData <- dateRangeSelect(
repoData('eu.ownyourdata.allergy.diary'), FALSE)
medData <- dateRangeSelect(
repoData('eu.ownyourdata.allergy.medintake'), FALSE)
data <- combineData(combineData(condData, diaryData), medData)
if(nrow(data) > 0){
data$Medikament <- 'Nein'
data[data$value, 'Medikament'] <- 'Ja'
data <- data[, c('date', 'value.x', 'Medikament', 'value.y')]
colnames(data) <- c('Datum', 'Befinden', 'Medikament', 'Notiz')
data$Datum <- format(as.Date(data$Datum), '%y-%m-%d')
data[data$Medikament, ]
}
data },
{ pollData <- dateRangeSelect(pollData(input$pollTableSelect))
if(nrow(pollData) > 0){
pollData$Datum <- format(as.POSIXct(pollData$timestamp,
origin='1970-01-01'),
'%Y-%m-%d %k Uhr')
pollData <- pollData[, c('Datum', 'value', 'belastungTxt')]
colnames(pollData) <- c('Datum', 'Pollenbelastung', 'Beschreibung')
pollData
} else {
data.frame()
}})
}, options = list(
language = list(
url = '//cdn.datatables.net/plug-ins/1.10.11/i18n/German.json'),
searching = FALSE,
lengthChange = FALSE,
pageLength = 10
)
))