---
title: "Tabs-Layout"
author: "David Granjon"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Tabs-Layout}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

The second layout is the `f7TabLayout()`, very similar to that of [miniUI](https://github.com/rstudio/miniUI).

```{r, echo=FALSE}
shinyMobile:::app_container(
  "https://dgranjon.shinyapps.io/miniUI2Tabs", 
  deps = TRUE,
  skin = "iphone8"
)
```

```{r, eval=FALSE}
library(shiny)
library(shinyMobile)
library(apexcharter)

poll <- data.frame(
  answer = c("Yes", "No"),
  n = c(254, 238)
)

shinyApp(
  ui = f7Page(
    title = "My app",
    f7TabLayout(
      panels = tagList(
        f7Panel(title = "Left Panel", side = "left", theme = "light", "Blabla", effect = "cover"),
        f7Panel(title = "Right Panel", side = "right", theme = "dark", "Blabla", effect = "cover")
      ),
      navbar = f7Navbar(
        title = "Tabs",
        hairline = TRUE,
        shadow = TRUE,
        leftPanel = TRUE,
        rightPanel = TRUE
      ),
      f7Tabs(
        animated = TRUE,
        #swipeable = TRUE,
        f7Tab(
          tabName = "Tab 1",
          icon = f7Icon("folder"),
          active = TRUE,

          f7Flex(
            prettyRadioButtons(
              inputId = "theme",
              label = "Select a theme:",
              thick = TRUE,
              inline = TRUE,
              selected = "md",
              choices = c("ios", "md"),
              animation = "pulse",
              status = "info"
            ),

            prettyRadioButtons(
              inputId = "color",
              label = "Select a color:",
              thick = TRUE,
              inline = TRUE,
              selected = "dark",
              choices = c("light", "dark"),
              animation = "pulse",
              status = "info"
            )
          ),

          tags$head(
            tags$script(
              'Shiny.addCustomMessageHandler("ui-tweak", function(message) {
                var os = message.os;
                var skin = message.skin;
                if (os === "md") {
                  $("html").addClass("md");
                  $("html").removeClass("ios");
                  $(".tab-link-highlight").show();
                } else if (os === "ios") {
                  $("html").addClass("ios");
                  $("html").removeClass("md");
                  $(".tab-link-highlight").hide();
                }

                if (skin === "dark") {
                 $("html").addClass("theme-dark");
                } else {
                  $("html").removeClass("theme-dark");
                }

               });
              '
            )
          ),

          f7Shadow(
            intensity = 10,
            hover = TRUE,
            f7Card(
              title = "Card header",
              apexchartOutput("pie")
            )
          )
        ),
        f7Tab(
          tabName = "Tab 2",
          icon = f7Icon("keyboard"),
          active = FALSE,
          f7Shadow(
            intensity = 10,
            hover = TRUE,
            f7Card(
              title = "Card header",
              apexchartOutput("scatter")
            )
          )
        ),
        f7Tab(
          tabName = "Tab 3",
          icon = f7Icon("layers_alt"),
          active = FALSE,
          f7Shadow(
            intensity = 10,
            hover = TRUE,
            f7Card(
              title = "Card header",
              f7SmartSelect(
                "variable",
                "Variables to show:",
                c("Cylinders" = "cyl",
                  "Transmission" = "am",
                  "Gears" = "gear"),
                openIn = "sheet",
                multiple = TRUE
              ),
              tableOutput("data")
            )
          )
        )
      )
    )
  ),
  server = function(input, output, session) {

    # river plot
    dates <- reactive(seq.Date(Sys.Date() - 30, Sys.Date(), by = input$by))

    output$pie <- renderApexchart({
      apex(
        data = poll,
        type = "pie",
        mapping = aes(x = answer, y = n)
      )
    })

    output$scatter <- renderApexchart({
      apex(
        data = mtcars,
        type = "scatter",
        mapping = aes(
          x = wt,
          y = mpg,
          fill = cyl
        )
      )
    })


    # datatable
    output$data <- renderTable({
      mtcars[, c("mpg", input$variable), drop = FALSE]
    }, rownames = TRUE)


    # send the theme to javascript
    observe({
      session$sendCustomMessage(
        type = "ui-tweak",
        message = list(os = input$theme, skin = input$color)
      )
    })

  }
)

```
