R Shiny Dynamic Report Download - r

Question

I have made a dynamic report visually in an r shiny app using renderui. I would like to be able to download this dynamic report but not sure how to correctly create it assuming I am unable to convert a render ui into an html file.
What is the best way to write a dynamic html file that can be displayed in the ui? and then download it?
Below is a minimal reproducible project. The download button is currently just for show.
library(shiny)
library(shinydashboard)
library(dplyr)
library(stringr)
library(DBI)
library(DT)
library(shinycssloaders)
library(lubridate)
library(tidyr)
library(ggplot2)
library(plotly)
library(scales)
ui <- dashboardPage(
dashboardHeader(title = "Key Performance Indicators", titleWidth =300),
dashboardSidebar(width = 300,
sidebarMenu(
menuItem("User Guide", tabName = "userguide", icon = icon("question-circle")),
menuItem("Dashboard", tabName = "dashboard", icon = icon("chart-line"), selected = TRUE)
),
selectizeInput(inputId="goals",
label="Goal:",
choices= c("Asset Management"
),
selected= "Asset Management",
multiple = FALSE),
uiOutput("kpis")
),
dashboardBody(
tabItems(
tabItem(
tabName = "userguide",
fluidRow(column(width = 12,
tabBox(width = NULL,
tabPanel("User Guide",
h3("General"),
h5("")
)
)
)
)
),
tabItem(
tabName = "dashboard",
fluidRow(column(width = 12,
tabBox(width = NULL,
tabPanel("Plot",
plotlyOutput("plot", height = 550) %>%
withSpinner(color="#1b6d96")),
tabPanel("Report",
uiOutput("report") %>%
withSpinner(color="#1b6d96")
)
)
)
)
)
)
)
)
server <- function(input, output) {
rawTable <- reactive({
df <- data.frame(KPI =c("Money Spent"),
measure = c("Dollars"),
FY2015= c(500),
FY2016= c(100),
FY2017= c(250),
FY2018= c(600),
FY2019= c(750),
FY2020= c(900))
return(df)
})
output$kpis <- renderUI({
selectizeInput(inputId="kpi",
label="KPI:",
choices= unique(rawTable()$KPI),
selected= unique(rawTable()$KPI[1]),
multiple = FALSE)
})
KPIplot <- reactive({
req(input$kpi)
df <- rawTable() %>%
filter(KPI == input$kpi) %>%
tidyr::pivot_longer(cols = tidyr::starts_with("FY"),
names_to = "Fiscal.Year",
values_to = "Value") %>%
mutate(Values = as.numeric(gsub("[^A-Za-z0-9;._-]","",Value)))
#measure <- toupper(unique(df$`Y Axis Label`))
ggplotly(
ggplot(
data = df,
aes(x = Fiscal.Year, y= Value,
text = paste0("Fiscal Year: ", gsub("\\.","-",str_remove(Fiscal.Year, "FY")),
"<br>Value: ", Value))
) +
geom_bar(stat = "identity") +
scale_y_continuous(labels = comma, breaks = scales::pretty_breaks(n = 10)) +
theme_minimal(),
tooltip = c("text")
)
})
output$plot <- renderPlotly({KPIplot()})
output$report <- renderUI({
fluidPage(
fluidRow(
column(
8, align = "right", offset = 2,
downloadButton("report", "Generate report")
)
),
fluidRow(
column(
8, align="center", offset = 2,
h1("Key Performance Indicator"),
hr(),
h2(input$goals)
)
),
fluidRow(
column(
8, align="left", offset = 2,
h2(input$kpi),
br(),
h3("Description"),
h5("custom text"),
br(),
h3("Performance Data"),
renderPlotly({KPIplot()}),
br(),
h3("Analysis"),
h5("custom text")
)
)
)
})
}
# Run the application
shinyApp(ui = ui, server = server)