issues with infoBox in Shiny Dashboard

[Kahina]

Hello,
I have an issue with the use of infobox in my shiny dashboard, i get this error and don't know how to fix it: Error in tagAssert: Expected an object with class 'shiny.tag'
here is a part of my code:

    header = dashboardHeaderPlus(
        title = "Clients fragiles",
        titleWidth = 300
        
    ),
    skin = "red",
    sidebar = dashboardSidebar(
        width = 300,
        fileInput( inputId = "corresp" ,
                   label = "Fichiers Correspondants" ,
                   multiple = TRUE ,
                   accept =c( ".xlsx", ".xls" )) ,
        
        fileInput( inputId = "visit" ,
                   label = "Fichiers Visites" ,
                   multiple = TRUE ,
                   accept = c(".xlsx",".xls")  ) ,
        
        fileInput( inputId = "reclam" ,
                   label = "Fichiers Réclamations" ,
                   multiple = TRUE ,
                   accept = c(".xlsx",".xls") ) ,
        
        fileInput( inputId = "solli" ,
                   label = "Fichiers Sollicitations" ,
                   multiple = TRUE ,
                   accept = c(".xlsx",".xls") ) ,
        
        fileInput( inputId = "acc" ,
                   label = "Fichiers 100 % Accueil" ,
                   multiple = TRUE ,
                   accept = c(".xlsx",".xls")  ) ,
        
        fileInput( inputId = "deploie" ,
                   label = "Fichiers 100 % Déploiement" ,
                   multiple = TRUE ,
                   accept =c(".xlsx",".xls")) ,
        
        fileInput( inputId = "csa" ,
                   label = "Fichiers CSAT" ,
                   multiple = TRUE ,
                   accept = c(".xlsx",".xls") ), 
        
        fileInput( inputId = "cib" ,
                   label = "Fichiers Cibles au T-1" ,
                   multiple = TRUE ,
                   accept = c(".xlsx",".xls")  )
        
        # downloadBttn(
        #     outputId = "downloadtable",
        #     label="Télécharger la cible",
        #     style = "float",
        #     color = "default",
        #     size="sm")
        ),
    
   
    body = dashboardBody(
        
      fluidRow(

        box(flexdashboard::gaugeOutput("value1"),width=2,title="Clients fragiles", height = "200px"),
        infoBoxOutput("value2", width=2),
        infoBoxOutput("value3", width=2),
        infoBoxOutput("value4", width=2),
        infoBoxOutput("value5", width=2)
      ),


      fluidRow(

        gradientBox(
            title = "Etapes de traitement",
            width = 12,
            icon = "fa fa-th",
            gradientColor = "red",
            boxToolSize = "sm",
            closable = TRUE,
            footer= plotOutput("sortie")   )
        )
        
         )
)


       
        
        
     server <- function( input , output ) {
    
    # Augmenter la taille des téléchargements
    options( shiny.maxRequestSize = 900*1024^2 ) 
  
    
    # Background
    
    wk <- reactive({
      
      if(is.null(input$corresp ) |is.null(input$visit )| is.null(input$reclam ) | is.null(input$solli )|is.null(input$acc)|is.null(input$deploie)|is.null(input$csa)|is.null(input$cib) ){return ()}
      
    
 dataset_n<- data.frame(table = c("Correspondant", "Visite","Réclamation","Sollicitation", "Accueil", "Déploiement", "Csat", "Cible T-1"),
                               volumetrie =c(nrow(correspondant), nrow(visite), nrow(reclamation), nrow(sollicitation), nrow(accueils), nrow(deploiements), nrow(csats), nrow(cibles) )) 
        
        dataset_n$table <- factor(dataset_n$table, ordered=T, levels=c("Correspondant", "Visite","Réclamation","Sollicitation", "Accueil", "Déploiement", "Csat", "Cible T-1"))
        

        combo <- list(workspace = workspace, dataset_n = dataset_n)
        combo
        
           })
        
        
          
             output$sortie <- renderPlot({
               if(is.null(input$corresp ) |is.null(input$visit )| is.null(input$reclam ) | is.null(input$solli )|is.null(input$acc)|is.null(input$deploie)|is.null(input$csa)|is.null(input$cib) ){return ()}
               
                 combo <-wk()
                 
                 dataset_n <- combo$dataset_n

               p <-  ggplot(dataset_n, aes(x=table, y=volumetrie))+
                  geom_col(fill="darkorange")+
                  scale_x_discrete("") +
                  scale_y_continuous("",label=number) +
                  geom_text(aes(label = number(volumetrie)), vjust = -0.5,size = 3.5)+
                  theme_minimal()

        return(p) } ) 

             output$value1 <-  flexdashboard::renderGauge({

               if(is.null(input$corresp ) |is.null(input$visit )| is.null(input$reclam ) | is.null(input$solli )|is.null(input$acc)|is.null(input$deploie)|is.null(input$csa)|is.null(input$cib) ){return ()}

               combo <- wk()

               workspace <- combo$workspace

               fragile <- workspace %>% count(`CLIENT FRAGILE CSAT ?`) %>% as.data.frame()

               fragile <- fragile %>%
                 arrange(desc(`CLIENT FRAGILE CSAT ?`)) %>%
                 mutate(prop=n/sum(n),
                        total=sum(n))

               gauge(fragile$prop, min = 0, max = 100, symbol = '%', label = paste("Clients fragiles"),gaugeSectors(
                 success = c(0, 30), warning = c(30, 50), danger = c(50, 100), colors = c("#16B84E", "#ED7F10","#FE1B00")
               ))

             })




             # output$value1 <- renderValueBox({
             #
             #     valueBox(
             #         paste("Clients fragiles": fragile$prop),
             #
             #         color = "red")
             # })
             #

             output$value2 <- renderInfoBox({

               if(is.null(input$corresp ) |is.null(input$visit )| is.null(input$reclam ) | is.null(input$solli )|is.null(input$acc)|is.null(input$deploie)|is.null(input$csa)|is.null(input$cib) ){return ()}

               combo <-wk()

               workspace <- combo$workspace

               recla <- combo %>% count(`Raison de fragilité`= str_detect(`Raison(s) fragilité`, regex("Réclamation", ignore_case = T))) %>% as.data.frame()

               recla <- recla %>% filter(`Raison de fragilité`==TRUE) %>% mutate(`Raison de fragilité`="Réclamation") %>% mutate(prop=n/sum(n))


               infoBox(
                 "Réclamation",
                 recla$prop ,
                 icon = icon("list"),
                 color = "green",
                 width=2)
             })



             output$value3 <- renderInfoBox({

               if(is.null(input$corresp ) |is.null(input$visit )| is.null(input$reclam ) | is.null(input$solli )|is.null(input$acc)|is.null(input$deploie)|is.null(input$csa)|is.null(input$cib) ){return ()}

               combo <-wk()

               workspace <- combo$workspace

               sat <- workspace %>% count(`Raison de fragilité`= str_detect(`Raison(s) fragilité`, regex("SAT", ignore_case = T))) %>% as.data.frame()

               sat <- sat %>% filter(`Raison de fragilité`==TRUE) %>% mutate(`Raison de fragilité`="SAT") %>% mutate(prop=n/sum(n))


               infoBox(
                 "Satisfaction",
                 sat$prop ,
                 icon = icon("list"),
                 color = "yellow",
                 width=2)
             })


             output$value4 <- renderInfoBox({

               if(is.null(input$corresp ) |is.null(input$visit )| is.null(input$reclam ) | is.null(input$solli )|is.null(input$acc)|is.null(input$deploie)|is.null(input$csa)|is.null(input$cib) ){return ()}

               combo <-wk()

               workspace <- combo$workspace


               vis <- workspace %>% count(`Raison de fragilité`= str_detect(`Raison(s) fragilité`, regex("Visite", ignore_case = T))) %>% as.data.frame()

               vis <- vis %>% filter(`Raison de fragilité`==TRUE) %>% mutate(`Raison de fragilité`="Visite") %>% mutate(prop=n/sum(n))


               infoBox(
                 "Visites",
                 vis$prop ,
                 icon = icon("list"),
                 color = "light-blue",
                 width=2)
             })

             output$value5 <- renderInfoBox({

               if(is.null(input$corresp ) |is.null(input$visit )| is.null(input$reclam ) | is.null(input$solli )|is.null(input$acc)|is.null(input$deploie)|is.null(input$csa)|is.null(input$cib) ){return ()}

               combo <-wk()

               workspace <- combo$workspace


               esc <- workspace %>% count(`Raison de fragilité`= str_detect(`Raison(s) fragilité`, regex("escalade", ignore_case = T))) %>% as.data.frame()

               esc <- esc %>% filter(`Raison de fragilité`==TRUE) %>% mutate(`Raison de fragilité`="Escalade") %>% mutate(prop=n/sum(n))


               infoBox(
                 "Escalade",
                 esc$prop ,
                 icon = icon("list"),
                 color = "orange", width=2)
             })
}
shinyApp(ui = ui, server = server)

Can anyone please help ?

thank's in advance

[pieterjanvc]

Hi,

Issues with Shiny code can stem from both the reactive Shiny code itself or the regular R code used in the functions. In order for us to help you with your question, please provide us a minimal reprocudible example (Reprex) where you provide a minimal (dummy) dataset and code that can recreate the issue. One we have that, we can go from there. For help on creating a Reprex, see this guide:

Shiny debugging and reprex guide

Shiny issues can be challenging to resolve relative to other problems with your code or statistical methods. Shiny apps are often large, complex projects with interacting files. When seeking help from others it is considered polite to: First, do your best to work through RStudio's debugging tools to diagnose your issue on your own. Often those shiny logs and tracebacks are useful to others trying to help out. Second, strive to minimize the effort required to replicate your issue. You can do this with a reproducible example ("reprex"). Shiny Debugging Errors in Shiny code can be difficult to track down. If you don't know where your problem is coming from, you can track it down with some o…

In your case, try to figure out which infobox it is that's causing the problem by first commenting out all the server code that generates the output for the boxes, then uncommenting them one by one until the issue appears. Then create a reprex with just that code

Good luck!
PJ