Debug shiny render* output










1















I'm trying to debug my shiny dashboard



For several render* function, I need to debug them with some log (with print or cat) but I can't use those function inside a renderDataTable() / renderText()



for example:



 output$selectedData = renderDataTable(
myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
)


I would like to print something to the console before and after the instruction of renderDataTable() but



 output$selectedData = renderDataTable(
cat("rendering...")
myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
cat("rendered")
)


How can I do this ?










share|improve this question


























    1















    I'm trying to debug my shiny dashboard



    For several render* function, I need to debug them with some log (with print or cat) but I can't use those function inside a renderDataTable() / renderText()



    for example:



     output$selectedData = renderDataTable(
    myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
    )


    I would like to print something to the console before and after the instruction of renderDataTable() but



     output$selectedData = renderDataTable(
    cat("rendering...")
    myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
    cat("rendered")
    )


    How can I do this ?










    share|improve this question
























      1












      1








      1








      I'm trying to debug my shiny dashboard



      For several render* function, I need to debug them with some log (with print or cat) but I can't use those function inside a renderDataTable() / renderText()



      for example:



       output$selectedData = renderDataTable(
      myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
      )


      I would like to print something to the console before and after the instruction of renderDataTable() but



       output$selectedData = renderDataTable(
      cat("rendering...")
      myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
      cat("rendered")
      )


      How can I do this ?










      share|improve this question














      I'm trying to debug my shiny dashboard



      For several render* function, I need to debug them with some log (with print or cat) but I can't use those function inside a renderDataTable() / renderText()



      for example:



       output$selectedData = renderDataTable(
      myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
      )


      I would like to print something to the console before and after the instruction of renderDataTable() but



       output$selectedData = renderDataTable(
      cat("rendering...")
      myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
      cat("rendered")
      )


      How can I do this ?







      r debugging shiny






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 14 '18 at 14:58









      SerkSerk

      589




      589






















          1 Answer
          1






          active

          oldest

          votes


















          1














          Here is a possible solution to the problem. First I use a variable called data to assingn any calculations to, in your case
          data<-myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]. This is used inside the render function and will be created when the output is rendered since it relies on this. I then use an observe function that requires the variable data to be created before printing the second "rendered" to the console. That works once on startup, and will work fine if your data is constant. If you have changing data, for my example the data changes with a user selection, we will have to re-render the table. Since the render function is reactive and you are using input$process_tokens, the render function will re-run when the input changes. In this example it runs when input$select changes. When it runs it resets the variable data to NULL, and we trigger a separate observeEvent that monitors changes to input$select(input$process_tokens). This observeEvent also requires data before continuing, and since the render function set it to null it will not print the second "rendered" until data is created, just as in the first case.



          library(shiny)
          library(DT)

          ui <- fluidPage(
          sidebarLayout(
          sidebarPanel(
          selectizeInput("select","select",choices=(c(1,2,3,4)))
          ),
          mainPanel(
          dataTableOutput("selectedData")
          )

          ))

          server <- function(input, output, session)

          data<-reactive(data.frame(input$select,4,5))

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<-datatable(data())
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$select,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Specific code for you:



          server <- function(input, output, session) 

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<- myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$process_tokens,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Note that you will get two "rendered" printouts when the program initially starts, this is b/c both the observe and observeEvent run since both conditions are met. If your data does change with input$process_tokens, then you can get rid of the observe function, and only use the observeEvent. If your data does not change and the table is only rendered once, then get rid of the observeEvent. I was trying to cover all bases.






          share|improve this answer




















          • 1





            Thanks a lot ! This solved my issue

            – Serk
            Nov 14 '18 at 16:34










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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          Here is a possible solution to the problem. First I use a variable called data to assingn any calculations to, in your case
          data<-myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]. This is used inside the render function and will be created when the output is rendered since it relies on this. I then use an observe function that requires the variable data to be created before printing the second "rendered" to the console. That works once on startup, and will work fine if your data is constant. If you have changing data, for my example the data changes with a user selection, we will have to re-render the table. Since the render function is reactive and you are using input$process_tokens, the render function will re-run when the input changes. In this example it runs when input$select changes. When it runs it resets the variable data to NULL, and we trigger a separate observeEvent that monitors changes to input$select(input$process_tokens). This observeEvent also requires data before continuing, and since the render function set it to null it will not print the second "rendered" until data is created, just as in the first case.



          library(shiny)
          library(DT)

          ui <- fluidPage(
          sidebarLayout(
          sidebarPanel(
          selectizeInput("select","select",choices=(c(1,2,3,4)))
          ),
          mainPanel(
          dataTableOutput("selectedData")
          )

          ))

          server <- function(input, output, session)

          data<-reactive(data.frame(input$select,4,5))

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<-datatable(data())
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$select,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Specific code for you:



          server <- function(input, output, session) 

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<- myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$process_tokens,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Note that you will get two "rendered" printouts when the program initially starts, this is b/c both the observe and observeEvent run since both conditions are met. If your data does change with input$process_tokens, then you can get rid of the observe function, and only use the observeEvent. If your data does not change and the table is only rendered once, then get rid of the observeEvent. I was trying to cover all bases.






          share|improve this answer




















          • 1





            Thanks a lot ! This solved my issue

            – Serk
            Nov 14 '18 at 16:34















          1














          Here is a possible solution to the problem. First I use a variable called data to assingn any calculations to, in your case
          data<-myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]. This is used inside the render function and will be created when the output is rendered since it relies on this. I then use an observe function that requires the variable data to be created before printing the second "rendered" to the console. That works once on startup, and will work fine if your data is constant. If you have changing data, for my example the data changes with a user selection, we will have to re-render the table. Since the render function is reactive and you are using input$process_tokens, the render function will re-run when the input changes. In this example it runs when input$select changes. When it runs it resets the variable data to NULL, and we trigger a separate observeEvent that monitors changes to input$select(input$process_tokens). This observeEvent also requires data before continuing, and since the render function set it to null it will not print the second "rendered" until data is created, just as in the first case.



          library(shiny)
          library(DT)

          ui <- fluidPage(
          sidebarLayout(
          sidebarPanel(
          selectizeInput("select","select",choices=(c(1,2,3,4)))
          ),
          mainPanel(
          dataTableOutput("selectedData")
          )

          ))

          server <- function(input, output, session)

          data<-reactive(data.frame(input$select,4,5))

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<-datatable(data())
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$select,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Specific code for you:



          server <- function(input, output, session) 

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<- myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$process_tokens,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Note that you will get two "rendered" printouts when the program initially starts, this is b/c both the observe and observeEvent run since both conditions are met. If your data does change with input$process_tokens, then you can get rid of the observe function, and only use the observeEvent. If your data does not change and the table is only rendered once, then get rid of the observeEvent. I was trying to cover all bases.






          share|improve this answer




















          • 1





            Thanks a lot ! This solved my issue

            – Serk
            Nov 14 '18 at 16:34













          1












          1








          1







          Here is a possible solution to the problem. First I use a variable called data to assingn any calculations to, in your case
          data<-myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]. This is used inside the render function and will be created when the output is rendered since it relies on this. I then use an observe function that requires the variable data to be created before printing the second "rendered" to the console. That works once on startup, and will work fine if your data is constant. If you have changing data, for my example the data changes with a user selection, we will have to re-render the table. Since the render function is reactive and you are using input$process_tokens, the render function will re-run when the input changes. In this example it runs when input$select changes. When it runs it resets the variable data to NULL, and we trigger a separate observeEvent that monitors changes to input$select(input$process_tokens). This observeEvent also requires data before continuing, and since the render function set it to null it will not print the second "rendered" until data is created, just as in the first case.



          library(shiny)
          library(DT)

          ui <- fluidPage(
          sidebarLayout(
          sidebarPanel(
          selectizeInput("select","select",choices=(c(1,2,3,4)))
          ),
          mainPanel(
          dataTableOutput("selectedData")
          )

          ))

          server <- function(input, output, session)

          data<-reactive(data.frame(input$select,4,5))

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<-datatable(data())
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$select,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Specific code for you:



          server <- function(input, output, session) 

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<- myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$process_tokens,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Note that you will get two "rendered" printouts when the program initially starts, this is b/c both the observe and observeEvent run since both conditions are met. If your data does change with input$process_tokens, then you can get rid of the observe function, and only use the observeEvent. If your data does not change and the table is only rendered once, then get rid of the observeEvent. I was trying to cover all bases.






          share|improve this answer















          Here is a possible solution to the problem. First I use a variable called data to assingn any calculations to, in your case
          data<-myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]. This is used inside the render function and will be created when the output is rendered since it relies on this. I then use an observe function that requires the variable data to be created before printing the second "rendered" to the console. That works once on startup, and will work fine if your data is constant. If you have changing data, for my example the data changes with a user selection, we will have to re-render the table. Since the render function is reactive and you are using input$process_tokens, the render function will re-run when the input changes. In this example it runs when input$select changes. When it runs it resets the variable data to NULL, and we trigger a separate observeEvent that monitors changes to input$select(input$process_tokens). This observeEvent also requires data before continuing, and since the render function set it to null it will not print the second "rendered" until data is created, just as in the first case.



          library(shiny)
          library(DT)

          ui <- fluidPage(
          sidebarLayout(
          sidebarPanel(
          selectizeInput("select","select",choices=(c(1,2,3,4)))
          ),
          mainPanel(
          dataTableOutput("selectedData")
          )

          ))

          server <- function(input, output, session)

          data<-reactive(data.frame(input$select,4,5))

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<-datatable(data())
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$select,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Specific code for you:



          server <- function(input, output, session) 

          output$selectedData <- renderDataTable(
          data<-NULL
          print("rendering..")
          data<- myCsv[which(myCsv[[myCase_id]]==input$process_tokens),]
          )

          #Observe inital rendering (only needed if no change to data)
          observe(
          req(data)
          print("rendered!")
          )

          #Observe Changes to data
          observeEvent(input$process_tokens,
          req(data)
          print("rendered!")
          )


          shinyApp(ui, server)


          Note that you will get two "rendered" printouts when the program initially starts, this is b/c both the observe and observeEvent run since both conditions are met. If your data does change with input$process_tokens, then you can get rid of the observe function, and only use the observeEvent. If your data does not change and the table is only rendered once, then get rid of the observeEvent. I was trying to cover all bases.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 14 '18 at 16:25

























          answered Nov 14 '18 at 15:50









          ChaboChabo

          1,1861723




          1,1861723







          • 1





            Thanks a lot ! This solved my issue

            – Serk
            Nov 14 '18 at 16:34












          • 1





            Thanks a lot ! This solved my issue

            – Serk
            Nov 14 '18 at 16:34







          1




          1





          Thanks a lot ! This solved my issue

          – Serk
          Nov 14 '18 at 16:34





          Thanks a lot ! This solved my issue

          – Serk
          Nov 14 '18 at 16:34



















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