我正在尝试构建一个闪亮的应用程序，其中侧边栏是动态的，基于所选的选项卡。侧栏由csv文件填充。现在它只是读取名为machines.csv的CSV文件。我希望能够根据选项卡名称读取例如austin.csv，dallas.cav。总共将有7个标签。我也在剧情区遇到麻烦。我希望绘图渲染到正确的选项卡（始终是选定的选项卡）。
我的代码在这里。该应用程序位于http://45.55.208.171:3838/
现在只有前两台机器有数据。而达拉斯标签我无法开始工作，因为我似乎无法使用相同的渲染图ID。不知道如何根据标签制作动态。
library(shiny)
library(ggplot2)
library(scales)
library(grid)
library(RColorBrewer)
library(lubridate)
library(ggrepel)
library(plyr)
library(dplyr)
library(DT)
library(RCurl)
library(readr)
library(stringr)
Machine <-read.csv("machines.csv")
Sys.setenv(TZ="US/Central")
SDate <- Sys.Date()
ui <- fluidPage(
titlePanel("Printer Utilization"),
sidebarLayout(
sidebarPanel(width = 2,
radioButtons("typeInput", "Machine", t(Machine[1]) , width = 4),
dateInput("RepDate", "Date of Report",format = "mm-dd-yyyy",value = "08-03-2016"),
downloadButton("downloadplot", "Download")),
mainPanel(
tabsetPanel(id = "plants",
tabPanel("Austin",value = "Austin", plotOutput("plants",width = "120%",height = "600px")),
tabPanel("Dallas",value = "Dallas", plotOutput("Dallas",width = "120%",height = "600px")),
tabPanel("Table", div(DT::dataTableOutput("log"), style = "font-size:50%")))
)))
server <- function(input, output) {
output$plants <-renderPlot({
Sys.setenv(TZ="US/Central")
SDate <- Sys.Date()
SDate <-as.POSIXct(SDate,format="%Y%m%d")+18000
RepDate.1 <- reactive({ as.POSIXct(input$RepDate,format="%Y%m%d", tz="US/Central")}+18000)
typeInput.1 <- reactive({input$typeInput})
RDate <- RepDate.1()
Machine.1<-reactive({subset(Machine,MNames.i==typeInput.1())})
Serial = Machine.1()$Serial.i
IP = Machine.1()$IP.i
Type = Machine.1()$Type.i
if (Type=="b"){
if (SDate==RepDate.1())
{
extension <- ".ACL"
logdata <- (read.csv(paste(Serial, as.character(RDate,format="%Y%m%d"), extension, sep = "") , sep = ';'))
RDate <- RDate-86400
extension <- ".CSV"
logdata <- (rbind(read.csv(paste(Serial, as.character(RDate,format="%Y%m%d"), extension, sep = "") , sep = ';'),logdata))
}
if (SDate!=RepDate.1())
{
extension <- ".CSV"
try(logdata <- (read.csv(paste(Serial, as.character(RDate,format="%Y%m%d"), extension, sep = "") , sep = ';')))
RDate <-RDate-86400
logdata <- (rbind(read.csv(paste(Serial, as.character(RDate,format="%Y%m%d"), extension, sep = "") , sep = ';'),logdata))
RDate <-RDate+172800
if (RDate==SDate)
{extension <- ".ACL"}
try(logdata <- (rbind(read.csv(paste(Serial, as.character(RDate,format="%Y%m%d"), extension, sep = "") , sep = ';'),logdata)))
}
logdata <- subset(logdata, (startdate == as.character(input$RepDate,format="%Y-%m-%d")) | (readydate == as.character(input$RepDate,format="%Y-%m-%d")))
logdata$jobname <- sub(":.*", "", logdata$jobname)
logdata$starttime.ct <- as.POSIXct(paste(logdata$startdate, logdata$starttime, sep = " ", format = "%Y%m%d %H:%M:%S", tz="US/Central"))
logdata$starttime.ct <- force_tz(logdata$starttime.ct,tzone="US/Central")
logdata$readytime.ct <- as.POSIXct(paste(logdata$readydate, logdata$readytime, sep = " ", format = "%Y%m%d %H:%M:%S", tz="US/Central"))
logdata$readytime.ct <- force_tz(logdata$readytime.ct,tzone="US/Central")
logdata$idletime.ct <- as.POSIXct(logdata$idletime, format = "%H:%M:%S")
logdata$idletime.hour <-as.POSIXlt(logdata$idletime.ct)$hour + as.POSIXlt(logdata$idletime.ct)$min/60 + as.POSIXlt(logdata$idletime.ct)$sec/3600
logdata$activetime.ct <- as.POSIXct(logdata$activetime, format = "%H:%M:%S")
logdata$activetime.hour <-as.POSIXlt(logdata$activetime.ct)$hour + as.POSIXlt(logdata$activetime.ct)$min/60 + as.POSIXlt(logdata$activetime.ct)$sec/3600
Sreadytime <- (strptime(logdata$readytime.ct,format="%Y-%m-%d %H:%M:%S"))
Sstarttime <- (strptime(logdata$starttime.ct,format="%Y-%m-%d %H:%M:%S"))
Rtime <- (Sreadytime-Sstarttime)/3600
Idletime <- (strptime(logdata$idletime.ct,format="%Y-%m-%d %H:%M:%S"))
Utilization <- sum(logdata$activetime.hour/24)
Utilization <- paste(round(Utilization*100,digits=1),"%",sep="")
output <- format(sum(logdata$nofprinteda4bw)+sum(logdata$nofprinteda3bw*2), big.mark=",")
ymax.r = (logdata$idletime.hour/(logdata$idletime.hour+logdata$activetime.hour))
logdata$jobname <- strtrim(logdata$jobname, 18)
}
if (Type=="c"){
url <- paste("http://",IP,"/xjutil/log.csv", sep="")
dat <- readLines(url)
dat <- dat[-1]
dat <- dat[-1]
varnames <- unlist(strsplit(dat[1], ","))
nvar <- length(varnames)
varnames<-make.names(varnames, unique=TRUE)
k <- 1
dat1 <- matrix(NA, ncol = nvar, dimnames = list(NULL, varnames))
while(k <= length(dat)){
k <- k + 1
#if(dat[k] == "") {k <- k + 1
#print(paste("data line", k, "is an empty string"))
if(k > length(dat)) {break}
#}
temp <- dat[k]
# checks if there are enough commas or if the line was broken
while(length(gregexpr(",", temp)[[1]]) < nvar-1){
k <- k + 1
temp <- paste0(temp, dat[k])
}
temp <- unlist(strsplit(temp, ","))
message(k)
dat1 <- rbind(dat1, temp)
}
dat1 = dat1[-1,]
logdata<-as.data.frame(dat1)
logdata$starttime.ct <-strptime(logdata$timestamp.printing,format="%Y %m %d %H %M %S", tz="US/Central")
logdata$readytime.ct <-strptime(logdata$timestamp.done.printing,format="%Y %m %d %H %M %S", tz="US/Central")
logdata$date.timestamp.printing <- as.character(substr(logdata$timestamp.printing, 1, 10))
logdata$date.timestamp.done.printing <- as.character(substr(logdata$timestamp.done.printing, 1, 10))
logdata <- subset(logdata, (date.timestamp.printing == as.character(RepDate.1(), format = "%Y %m %d")) | (date.timestamp.done.printing == as.character(RepDate.1(), format = "%Y %m %d")))
logdata$title <- sub(":.*", "", logdata$title)
logdata$activetime <- logdata$readytime.ct - logdata$starttime.ct
Utilization <- sum(logdata$activetime/86400)
Utilization <- paste(round(Utilization*100,digits=1),"%",sep="")
output<-format(sum(as.numeric(logdata$total.pages.printed)),big.mark = ",")
output<-""
ymax.r = 0
logdata$jobname <- logdata$title
logdata$jobname <- strtrim(logdata$jobname, 18)
}
if (Type=="a"){
url <- paste("http://",IP,"/logs/","?C=M;O=D", sep="")
html <- paste(readLines(url), collapse="\n")
matched <- str_match_all(html, "<a href=\"(1100.*?)\"")
links <- matched[[1]][, 2]
print(links)
for (i in links[1:15])
{
url <- paste("http://",IP,"/logs/", sep="")
url.a <- paste(url,as.character(i) ,sep = "")
print(url.a)
if (exists("logdata")){
logdata <- rbind(read.csv(url.a, header=TRUE, fill = TRUE, sep = ","), logdata)
}
else{
logdata <- read.csv(url.a, header=TRUE, fill = TRUE, sep = ",")
print(url.a)
}
}
logdata$size <- logdata$SqFt
logdata <- logdata %>% distinct(Start.time, .keep_all = TRUE)
logdata$Start.time <- strptime(logdata$Start.time, format="%a %b %d %H:%M:%S %Y")
logdata$Total.time <- as.POSIXlt(logdata$Total.time, format = "%H:%M:%S")
logdata$Total.time <- as.POSIXlt(logdata$Total.time)$hour + as.POSIXlt(logdata$Total.time)$min/60 + as.POSIXlt(logdata$Total.time)$sec/3600
logdata$readytime.ct <- as.POSIXct(logdata$Start.time)+(logdata$Total.time * 3600)
logdata$starttime.ct <- as.POSIXct(logdata$Start.time)
logdata$starttime <- strptime(logdata$starttime.ct,format="%Y-%m-%d")
logdata$End.time <- as.POSIXct(logdata$Start.time)+(logdata$Total.time * 3600)
logdata <- subset(logdata, as.character(starttime,format="%Y-%m-%d") == as.character(RepDate.1(),format="%Y-%m-%d") | (strptime(End.time,format="%Y-%m-%d") == as.character(RepDate.1(),format="%Y-%m-%d")))
Utilization <- (sum(logdata$Total.time))/60
Utilization <- paste(round(Utilization*100,digits=1),"%",sep="")
output<-0
#ymax.r = logdata$SqFt.hr/300
ymax.r = 0
logdata$jobname <- logdata$File.name
}
p<-ggplot(logdata, aes(xmin = starttime.ct, xmax = readytime.ct, ymin = 0, ymax = 1-ymax.r, fill = factor(jobname))) + geom_rect(alpha = .9) +
labs(title=paste(typeInput.1(),RepDate.1(), Utilization, output,sep=" "),x="Time of day",y="Run Time") + theme(legend.position="bottom", legend.title = element_blank(), legend.title = element_text(size=10),legend.title=element_blank()) + guides(fill=guide_legend(nrow=5)) +
scale_x_datetime(labels = date_format("%H:%M", tz="US/Central"),breaks = date_breaks("1 hour"),expand=c(0,0)) +
coord_cartesian(xlim = as.POSIXct(c(RepDate.1()+86400,RepDate.1()),format="%Y%m%d %H:%M:%S", tz="US/Central")) +
scale_y_continuous(labels=percent,expand=c(0,0),limits=c(0,1))
print(p)
file<-ggsave("myplot.pdf",device = "pdf",plot = p,width=16, height=10,paper="special")
})
output$downloadplot <- downloadHandler(
filename="myplot.pdf", # desired file name on client
content=function(con) {
file.copy("myplot.pdf", con)
}
)
outputOptions(output, "downloadplot", suspendWhenHidden=FALSE)
}
shinyApp(ui = ui, server = server)
答案 0 :(得分：1)
这个怎么样？
在这里，我硬编码choice_set变量，但我想你可以使用外部数据文件来定义它。
键。
reactiveValues中，以便可以从服务器操作中引用它。observeEvent(input$tabset, ...)触发服务器操作。updateRadioButtons更改输入组件的属性。 R
library(shiny)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(radioButtons("radio", "radio", c("A", "B"))),
mainPanel(
tabsetPanel(id = "tabset",
tabPanel("alphabet", value = "alpha"),
tabPanel("number", value = "number"))
)))
server <- function(input, output, session)
{
RV <- reactiveValues(
choise_set = list(
alpha = c("A", "B"),
number = c("1", "2", "3")
)
)
observeEvent(input$tabset, {
updateRadioButtons(session, "radio",
choices = RV$choise_set[[input$tabset]])
})
}
runApp(list(ui = ui, server = server))