Edit contents of Modal popup in R shiny - r

Question

I would like to edit the contents of a modal popup in R shiny. Below is my code with which I'm able to print the values in the modal popup but I'm not able to edit it.
Server.R
modelnetlist <- function(failed = FALSE){
netlistdata <- readLines('run.scs')
splitText1 <- stringi::stri_split(str = netlistdata, regex = '\\n')
# wrap a paragraph tag around each element in the list
replacedText1 <- lapply(splitText1, p)
modalDialog(
title = "Netlist File",
replacedText1,
easyClose = FALSE,
footer = tagList(
modalButton("Close"),
actionButton("save", "Save")
)
)
}
observeEvent(input$gennet, {
showModal(modelnetlist())
})
ui.R
options(shiny.maxRequestSize=100*1024^2)
ui <- dashboardPage(skin = "yellow",
dashboardHeader(title = "Modelling Automation"),
dashboardSidebar(
sidebarMenu(
# Setting id makes input$tabs give the tabName of currently-selected tab
id = "tabs",
menuItem("Data Processing", tabName = "DP", icon = icon("database"), startExpanded = TRUE,
menuSubItem("Merge", tabName= "Merge"),
menuSubItem("Data", tabName = "Data"),
menuSubItem("Plot", tabName = "Plot", selected = TRUE),
menuSubItem("Parameters", tabName = "Parameters")),
menuItem("Parameter Extraction", icon = icon("book-open"), tabName = "PE"),
menuSubItem("Data Conversion", tabName = "DC"),
menuSubItem("IPL Upload", tabName = "IPL"),
menuSubItem("Netlist Spectre", tabName = "netlist"),
menuSubItem("Spectre logs", tabName = "mylog"),
menuSubItem("Parameter Fitting", tabName = "PF"),
menuItem("Model QA", tabName = "QA", icon = icon("angellist"))
),
textOutput("res")
),
dashboardBody(
tabItems(
tabItem("DP", "Dashboard tab content"),
#tabItem("PE", "Widgets tab content"),
tabItem("Merge", fileInput("mergefiles", "choose the files", accept = c(".txt"), multiple = TRUE), downloadButton("Download", label = "Merged File")),
tabItem("Data",
mainPanel(div(style='overflow-x:scroll',tableOutput("txt"),tableOutput("filetable"),tableOutput("filetable1")))
),
tabItem("Plot",sidebarLayout(sidebarPanel(width=3,
fileInput("datasets", "choose the files", accept = c(".txt",".esd"), multiple = TRUE),
uiOutput("plotdata"),uiOutput("devicetype"), uiOutput("chip"),
uiOutput("macro"),
uiOutput("device"),fluidRow(column(5,uiOutput("minIT2")),column(5,uiOutput("maxIT2"))),
fluidRow(column(5,uiOutput("temperature")), column(5,uiOutput("DCleakage"))),
fluidRow(column(5,uiOutput("varx")),column(5,uiOutput("vary")))
),
mainPanel(width=9,
plotlyOutput("PLOT")))),
tabItem("Parameters",tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"),
div(style="display:inline-block;width:32%;text-align: center;",actionButton("action", label = "Normalize")),
tabsetPanel(type="tabs",
tabPanel("CV Table",div(style='overflow-x:scroll',dataTableOutput('DiodeCVTable')),fluidRow(column(5, actionButton("perimeterCV", label="Change Perimeter")),column(5, actionButton("changeCV", label = "Change Goldenchip"))),fluidRow(column(5, uiOutput("dynamicCV")),column(5,uiOutput("goldenchipCV"))),plotlyOutput("cvplot")),
tabPanel("DC Table",div(style='overflow-x:scroll',dataTableOutput('DiodeDCTable')),fluidRow(column(5, actionButton("perimeterDC", label="Change Perimeter")),column(5, actionButton("changeDC", label = "Change Goldenchip"))),fluidRow(column(5, uiOutput("dynamicDC")),column(5,uiOutput("goldenchipDC"))),plotlyOutput("dcplot")),
tabPanel("TLP Table",div(style='overflow-x:scroll',dataTableOutput('TLPTable')), fluidRow(column(5, actionButton("perimeterTLP", label="Change Perimeter")),column(5, actionButton("changeTLP", label = "Change Goldenchip"))),fluidRow(column(5, uiOutput("dynamicTLP")),column(5,uiOutput("goldenchipTLP"))),plotlyOutput("tlpplot")),
tabPanel("VFTLP Table",div(style='overflow-x:scroll',dataTableOutput('VFTLPTable')), fluidRow(column(5, actionButton("perimeterVFTLP", label="Change Perimeter")),column(5, actionButton("changeVFTLP", label = "Change Goldenchip"))),fluidRow(column(5, uiOutput("dynamicVFTLP")),column(5,uiOutput("goldenchipVFTLP"))), plotlyOutput("vftlpplot")))),
tabItem("PE","Parameter Extraction Content"),
tabItem("DC",uiOutput("onedevice"),uiOutput('tabs'),
conditionalPanel(condition="input.layer=='CV'", plotlyOutput("plotcv1"),br(), tableOutput("device1cv")),
#conditionalPanel(condition="input.layer=='CV 2'", plotlyOutput("plotcv2"),br(), tableOutput("device2cv")),
# conditionalPanel(condition="input.layer=='CV 3'", plotlyOutput("plotcv3"),br(), tableOutput("device2cv")),
conditionalPanel(condition="input.layer=='DC # 25'", plotlyOutput("plotdc125"),br(), tableOutput("device1dc25")),
conditionalPanel(condition="input.layer=='DC # -40'", plotlyOutput("plotdc140"),br(), tableOutput("device1dc40")),
conditionalPanel(condition="input.layer=='DC # 125'", plotlyOutput("plotdc1125"),br(), tableOutput("device1dc125")),
conditionalPanel(condition="input.layer=='DC # 150'", plotlyOutput("plotdc1150"),br(), tableOutput("device1dc150")),
conditionalPanel(condition="input.layer=='TLP'",fluidRow(column(3,uiOutput("stepcountTLP")), column(3, uiOutput("maxvoltageTLP")), column(3, uiOutput("VholdTLP")), downloadButton("DownloadTLP",label = "Download converted data")), plotlyOutput("plottlp1"),br(), tableOutput("device1tlp")),
#conditionalPanel(condition="input.layer=='TLP 2'", plotlyOutput("plottlp2"),br(), tableOutput("device2tlp")),
conditionalPanel(condition="input.layer=='VFTLP'",fluidRow(column(3,uiOutput("stepcountVFTLP")), column(3, uiOutput("maxvoltageVFTLP")), column(3, uiOutput("VholdVFTLP"))), plotlyOutput("plotvftlp1"),br(), tableOutput("device1vftlp"))
),
tabItem("PF", uiOutput('modelingtabs'),
conditionalPanel(condition="input.modtab=='CV'",tableOutput("modelingdevice1CV")),
conditionalPanel(condition= "input.modtab=='DC # 25'", tableOutput("modelingdevice1DC25")),
conditionalPanel(condition= "input.modtab=='DC # 40'", tableOutput("modelingdevice1DC40")),
conditionalPanel(condition= "input.modtab=='DC # 125'", tableOutput("modelingdevice1DC125")),
conditionalPanel(condition= "input.modtab=='DC # 150'", tableOutput("modelingdevice1DC150")),# plotlyOutput("plotcv1"),br(), tableOutput("device1cv")),
conditionalPanel(condition="input.modtab=='TLP'",tableOutput("modelingdevice1TLP")),# plotlyOutput("plottlp1"),br(), tableOutput("device1tlp")),
conditionalPanel(condition="input.modtab=='VFTLP'",tableOutput("modelingdevice1VFTLP"))#, plotlyOutput("plotvftlp1"),br(), tableOutput("device1vftlp"))
),
tabItem("IPL",
fluidRow(box(title = "Model Inputs", width = 8,
fileInput("iplfile", "choose the IPL file", accept = c(".xlsx"), multiple = TRUE),
column(3, uiOutput("modeltype")),
column(3,uiOutput("modeldevtype")),
column(3,uiOutput("modelpath")),
column(3, uiOutput("wrapperfile")),
column(3,uiOutput("zapcon")),
column(3,uiOutput("polarity")),
column(3,uiOutput("sectiontype")),
column(3,uiOutput("designfile")),
column(3, uiOutput("esd_event")),
column(3, uiOutput("esd_exit")),
column(3, uiOutput("modelnodeorder")),
column(3, uiOutput("terminalbias")),
column(3,uiOutput("design")),
column(3,uiOutput("modtemp")),
column(3,uiOutput("ylogaxis")))),
box(title = "Model Parameters in IPL", width = 20, tableOutput("IPLTable"),
uiOutput("newvalue1"),
uiOutput("newvalue2"),
uiOutput("newvalue3"),
uiOutput("newvalue4"))
,fluidRow(box(width = 6, height = 60,actionButton("SpecPlot", label="Spectre Plot", width = 100),
# bsModal("netl", strong("Netlist File", style="color:#0000ff; font-size:120%"),
# "gennet", size = "large", uiOutput("modelnetlist")),
actionButton("HspiPlot", label="Hspice Plot", width = 100),
actionButton("gennet", label="Generate netlist"),
actionButton("ChangeValues", label="Change Values"),
actionButton("save", label = "Save"),
actionButton("Mergesim", label="Merge Simulation Plots"))),
uiOutput("newvalues"),
#conditionalPanel(condition = "input$specplot", withSpinner(plotlyOutput("plotspe"), type = 1, hide.ui = FALSE)),
tags$head(
tags$style(
HTML(".shiny-notification {
height: 100px;
width: 500px;
position:fixed;
top: calc(50% - 50px);;
left: calc(50% - 400px);;
}
"
)
)
),
#box(title = "Simulation", status = "primary", plotlyOutput("plotspe", height = 250)),
fluidRow(column(width=6,
fluidRow(plotlyOutput("plotspe",width = "100%", height = "400px", inline = FALSE))),
column(width=6,
fluidRow(plotlyOutput("plothspi",width = "100%", height = "400px", inline = FALSE)))),
fluidRow(column(width=6,fluidRow(plotlyOutput("plotspechspi",width = "100%", height = "400px", inline = FALSE)))),
# splitLayout(style = "height:400px;", cellWidths = c("800", "800"),
# plotlyOutput("plotspe"), plotlyOutput("plothspi"))
# ,
plotlyOutput("plottlpalongspectre")
),
tabItem("netlist", fluidPage(uiOutput("netlistfile"))),
tabItem("mylog", fluidPage(uiOutput("logfile"))),
tabItem("QA", " QA tab content")# actionButton("ChangeValues", label="Change Values"
)
)
)
**run.scs file:** (File that I'm calling in modelnetlist function to read and display it in the modal)
Simmulator lang=spectre
global 0
paropt options redefinedparams= ignore
parameters vnw=0 vnd=0
parameters area_1=5.5e-12
I would like to edit in the modal popup, but I'm only to print with my code. I tried textInput, textOutput inside modalDialog but it doesn't help. Any suggestions?

Answer 1

In modalDialog function you can use almost any UI elements (see ... parameter)
modelnetlist <- function(failed = FALSE){
netlistdata <- paste(readLines('run.scs'),collapse="\n")
modalDialog(
title = "Netlist File",
textAreaInput("theScript", value=netlistdata),
easyClose = FALSE,
footer = tagList(
modalButton("Close"),
actionButton("save", "Save")
)
)
}
and to get new script in the save button listener use input$theScript
observeEvent(input$save, {
# do whatever you want with input$theScript
if(isTruthy(input$theScript))
writeLines(input$theScript, "run.scs")
})
Note: the path where you save file must be writeable.