从 Shiny 模块返回服务器端生成值的最佳实践?
Best practices for returning a server-side generated value from a Shiny module?
考虑以下示例应用程序:
library(shiny)
library(shinyWidgets)
module_UI <- function(id){
tagList(
div(
uiOutput(
outputId = NS(id, "selection")
),
shinyWidgets::dropdown(
uiOutput(outputId = NS(id, "new_option")),
style = "unite",
label = "New",
color = "primary",
animate = animateOptions(
enter = animations$fading_entrances$fadeInLeftBig,
exit = animations$fading_exits$fadeOutRightBig
),
up = F,
width = "600px",
inline = T
)
)
)
}
module_server <- function(id){
moduleServer(id, function(input, output, session){
ns <- session$ns
return_values <- reactiveValues(selection=NULL)
output$selection <- renderUI({
selectInput(inputId = ns("selection"), label = "Select:", choices = 1:5)
})
output$new_option <- renderUI({
div(
numericInput(ns("new_option_input"), label = "Add a new option:"),
shinyWidgets::actionBttn(
inputId = ns("submit_new_option"),
label = "Submit",
icon = icon("paper-plane"))
)
})
observeEvent(input$submit_new_option, {
#does not work as intended
updateSelectInput(session = session, inputId = "selection", selected = input$new_option_input)
})
observe({
return_values$selection <- input$selection
})
return(return_values)
})
}
# Define UI for application that draws a histogram
ui <- fluidPage(
title = "Test App",
module_UI("test"),
verbatimTextOutput(outputId = "selection_chosen")
)
# Define server logic required to draw a histogram
server <- function(input, output) {
picker <- module_server("test")
output$selection_chosen <- renderText({
picker$selection
})
}
# Run the application
shinyApp(ui = ui, server = server)
基本上,该模块应该做两件事:
- 允许用户 select 一个预先存在的选项 --> return 来自模块
的值
- 允许用户创建自己的新选项 --> return 来自模块的值
我在#1 上工作,但在#2 上苦苦挣扎。具体来说,我有“不起作用”的评论。我怎样才能实现这个功能? are/is从 Shiny 模块return在服务器端创建值的最佳实践是什么?这是一个示例应用程序;真正的涉及从数据库中读取 selectInput
选项,以及将新创建的选项保存在数据库中。感谢对此的任何帮助!许多关于 Shiny 模块的 SO 答案都有较旧的 callModule(...)
语法,这使得研究这个主题更加混乱。
您只需在numericInput
中提供默认值即可。也许你正在寻找这个。
library(shiny)
library(shinyWidgets)
module_UI <- function(id){
ns <- NS(id)
tagList(
div(
uiOutput(
outputId = NS(id, "selection")
),
shinyWidgets::dropdown(
uiOutput(outputId = NS(id, "new_option")),
style = "unite",
label = "New",
color = "primary",
animate = animateOptions(
enter = animations$fading_entrances$fadeInLeftBig,
exit = animations$fading_exits$fadeOutRightBig
),
up = F,
width = "600px",
inline = T
),
DTOutput(ns("t1"))
)
)
}
module_server <- function(id){
moduleServer(id, function(input, output, session){
ns <- session$ns
return_values <- reactiveValues(selection=NULL,myiris = iris)
output$selection <- renderUI({
selectInput(inputId = ns("selection"), label = "Select:", choices = 1:5)
})
output$new_option <- renderUI({
tagList(
numericInput(ns("new_option_input"), label = "Add a new option:",10, min = 1, max = 100),
shinyWidgets::actionBttn(
inputId = ns("submit_new_option"),
label = "Submit",
icon = icon("paper-plane"))
)
})
observeEvent(input$submit_new_option, {
return_values$myiris <- iris[1:input$new_option_input,]
#does work as intended
updateSelectInput(session = session, inputId = "selection", choices= c(1:input$new_option_input), selected = input$new_option_input)
})
output$t1 <- renderDT({return_values$myiris})
observe({
return_values$selection <- input$selection
})
return(return_values)
})
}
# Define UI for application that draws a histogram
ui <- fluidPage(
title = "Test App",
module_UI("test"),
verbatimTextOutput(outputId = "selection_chosen"),
DTOutput("t2")
)
# Define server logic required to draw a histogram
server <- function(input, output) {
picker <- module_server("test")
output$selection_chosen <- renderText({
picker$selection
})
output$t2 <- renderDT({picker$myiris[,c(3:5)]})
}
# Run the application
shinyApp(ui = ui, server = server)
考虑以下示例应用程序:
library(shiny)
library(shinyWidgets)
module_UI <- function(id){
tagList(
div(
uiOutput(
outputId = NS(id, "selection")
),
shinyWidgets::dropdown(
uiOutput(outputId = NS(id, "new_option")),
style = "unite",
label = "New",
color = "primary",
animate = animateOptions(
enter = animations$fading_entrances$fadeInLeftBig,
exit = animations$fading_exits$fadeOutRightBig
),
up = F,
width = "600px",
inline = T
)
)
)
}
module_server <- function(id){
moduleServer(id, function(input, output, session){
ns <- session$ns
return_values <- reactiveValues(selection=NULL)
output$selection <- renderUI({
selectInput(inputId = ns("selection"), label = "Select:", choices = 1:5)
})
output$new_option <- renderUI({
div(
numericInput(ns("new_option_input"), label = "Add a new option:"),
shinyWidgets::actionBttn(
inputId = ns("submit_new_option"),
label = "Submit",
icon = icon("paper-plane"))
)
})
observeEvent(input$submit_new_option, {
#does not work as intended
updateSelectInput(session = session, inputId = "selection", selected = input$new_option_input)
})
observe({
return_values$selection <- input$selection
})
return(return_values)
})
}
# Define UI for application that draws a histogram
ui <- fluidPage(
title = "Test App",
module_UI("test"),
verbatimTextOutput(outputId = "selection_chosen")
)
# Define server logic required to draw a histogram
server <- function(input, output) {
picker <- module_server("test")
output$selection_chosen <- renderText({
picker$selection
})
}
# Run the application
shinyApp(ui = ui, server = server)
基本上,该模块应该做两件事:
- 允许用户 select 一个预先存在的选项 --> return 来自模块 的值
- 允许用户创建自己的新选项 --> return 来自模块的值
我在#1 上工作,但在#2 上苦苦挣扎。具体来说,我有“不起作用”的评论。我怎样才能实现这个功能? are/is从 Shiny 模块return在服务器端创建值的最佳实践是什么?这是一个示例应用程序;真正的涉及从数据库中读取 selectInput
选项,以及将新创建的选项保存在数据库中。感谢对此的任何帮助!许多关于 Shiny 模块的 SO 答案都有较旧的 callModule(...)
语法,这使得研究这个主题更加混乱。
您只需在numericInput
中提供默认值即可。也许你正在寻找这个。
library(shiny)
library(shinyWidgets)
module_UI <- function(id){
ns <- NS(id)
tagList(
div(
uiOutput(
outputId = NS(id, "selection")
),
shinyWidgets::dropdown(
uiOutput(outputId = NS(id, "new_option")),
style = "unite",
label = "New",
color = "primary",
animate = animateOptions(
enter = animations$fading_entrances$fadeInLeftBig,
exit = animations$fading_exits$fadeOutRightBig
),
up = F,
width = "600px",
inline = T
),
DTOutput(ns("t1"))
)
)
}
module_server <- function(id){
moduleServer(id, function(input, output, session){
ns <- session$ns
return_values <- reactiveValues(selection=NULL,myiris = iris)
output$selection <- renderUI({
selectInput(inputId = ns("selection"), label = "Select:", choices = 1:5)
})
output$new_option <- renderUI({
tagList(
numericInput(ns("new_option_input"), label = "Add a new option:",10, min = 1, max = 100),
shinyWidgets::actionBttn(
inputId = ns("submit_new_option"),
label = "Submit",
icon = icon("paper-plane"))
)
})
observeEvent(input$submit_new_option, {
return_values$myiris <- iris[1:input$new_option_input,]
#does work as intended
updateSelectInput(session = session, inputId = "selection", choices= c(1:input$new_option_input), selected = input$new_option_input)
})
output$t1 <- renderDT({return_values$myiris})
observe({
return_values$selection <- input$selection
})
return(return_values)
})
}
# Define UI for application that draws a histogram
ui <- fluidPage(
title = "Test App",
module_UI("test"),
verbatimTextOutput(outputId = "selection_chosen"),
DTOutput("t2")
)
# Define server logic required to draw a histogram
server <- function(input, output) {
picker <- module_server("test")
output$selection_chosen <- renderText({
picker$selection
})
output$t2 <- renderDT({picker$myiris[,c(3:5)]})
}
# Run the application
shinyApp(ui = ui, server = server)