Question

我的应用在本地运行良好。我可以与它进行交互等。但是当全局部署它会立即抛出“与服务器断开连接”错误。我已经谷歌搜索了几天，并尝试了我知道如何尝试的一切。

首先要做的事情：

我尝试卸载然后重新安装一堆软件包
我更新了我正在使用的所有软件包
闪亮的日志中根本没有任何信息。 “此应用程序目前没有日志。”
我的数据（csv）只有17MB（3列，1M-ish行）
当我把它减少到只有大约200行时，我继续遇到同样的问题
我完成了设置，将启动超时更改为300并逐个系统地更改了其他每个设置。
我端到端地阅读了浏览器的JavaScript日志。它们没有多大意义（可能是因为我不知道JavaScript），但没有明显的突出显示。
我没有用整个文件路径加载我的数据，只是结束部分

我在RStudio中的“部署”登录表示部署成功：

Preparing to deploy application...DONE
Uploading bundle for application: 193997...DONE
Deploying bundle: 994423 for application: 193997 ...
Waiting for task: 489405538
  building: Building image: 992534
  building: Fetching packages
  building: Installing packages
  building: Installing files
  building: Pushing image: 992534
  deploying: Starting instances
  rollforward: Activating new instances
  terminating: Stopping old instances
Application successfully deployed to https://jesstme.shinyapps.io/shinynames/
Deployment completed: https://jesstme.shinyapps.io/shinynames/

链接到应用程序本身： https://jesstme.shinyapps.io/shinynames/

服务器代码：

#set wd & environment----
setwd("/Users/OldJess/Dropbox/R Stuff (Home)/ShinyNames")

#load packages------
library(datasets)
library(ggplot2)
library(viridis)
library(ggthemes)
library(gridExtra)
library(dplyr)
library(rdrop2)
library(shiny)
library(devtools)

#base <- read.csv("data/NationalNamesBrief.csv", stringsAsFactors = FALSE,     row.names = NULL, na.strings = c("NA","","#MULTIVALUE"))

#temporary df for demonstration purposes
base <- structure(list(Name = c("Ellie", "Ellie", "Ellie", "Ellie", "Ellie", 
                            "Ellie"), 
                   Year = c(1880L, 1881L, 1882L, 1883L, 1883L, 1884L), 
                   Gender = c("F", "F", "F", "F", "M", "F"), 
                   Count = c(17L, 27L, 37L, 24L, 7L, 28L)), 
              .Names = c("Name", "Year", "Gender", "Count"), 
              row.names = c(NA, 6L), class = "data.frame")

#clean data----
base$name <- tolower(base$Name)
base$MF <- as.factor(base$Gender)

#add ranking data by Year
base <- base %>%
  group_by(Year) %>%
  arrange(Year, desc(Count)) %>%
  mutate(Rank = row_number())

#add ranking data by Year AND Gender
base <- base %>%
  group_by(Year, Gender) %>%
  arrange(Year, desc(Count)) %>%
  mutate(GenderRank = row_number())

#create functions----
#function to create line & heat charts
lineHeatCharts <- function(pickaname){
  pickanameLower <- tolower(pickaname)
  subDf <- subset(base[base$name == pickanameLower,])
  heat <- ggplot(subDf, aes(x = Year, y = MF, fill = Count)) +
    scale_fill_viridis(name = "",
                   option = "B", 
                   limits = c(0, max(subDf$Count))) +
    geom_tile(color = "white", size = 0) +
    theme_tufte() +
    theme(axis.text.x = element_text(angle = 90, vjust = 1, hjust = 1),
      axis.ticks.x = element_blank()) +
    scale_x_continuous(breaks = seq(min(subDf$Year), 
                                max(subDf$Year), by = 5)) +
    labs(x = "Year", y = "")
  line <- ggplot(subDf, aes(x = Year, y = Count, fill = MF)) +
geom_line(aes(colour = factor(subDf$Gender)), size = 1.5) +
theme_tufte() +
theme(axis.text.x = element_blank(),
      axis.ticks.x = element_blank()) +
scale_x_continuous(breaks = seq(min(subDf$Year), 
                                max(subDf$Year), by = 5)) +
labs(x = "", y = "", color = "")
  return(grid.arrange(line, heat, 
                  ncol = 1, nrow = 2,
                  heights = c(5, 2), top = max(subDf$Name)))
} 

# Define server logic 
function(input, output) {

  output$view <- renderPlot({
    lineHeatCharts(input$list)
  })
}

UI代码：

library(shiny)
library(shinythemes)

# Define UI for dataset viewer application
fluidPage(theme = shinytheme("flatly"),

  # Application title
  titlePanel("First Names on U.S. Social Security Applications, 1880 - 2014"),

  sidebarLayout(
    sidebarPanel(
      textInput(inputId = "list", label = "Enter a name:", value = "Ellie"),

      helpText("Note: This page will take about 30 seconds to load the first     time you open it. Data are from US Social Security applications via data.gov. For privacy, only names with at least 5 babies per year are included. Errors in Social Security form submission, like incorrect sex, are not corrected. Names with special characters and spaces are not included."),

  submitButton("Refresh View")
),

mainPanel(
  h4(""),
  plotOutput("view")
    )
  )
)

Answer 1

试试这个：

#set wd & environment----
#setwd("/Users/OldJess/Dropbox/R Stuff (Home)/ShinyNames")

#load packages------
library(datasets)
library(ggplot2)
library(viridis)
library(ggthemes)
library(gridExtra)
library(dplyr)
library(shiny)
library(shinythemes)

#base <- read.csv("data/NationalNamesBrief.csv", stringsAsFactors = FALSE,     row.names = NULL, na.strings = c("NA","","#MULTIVALUE"))

#temporary df for demonstration purposes
base <- structure(list(Name = c("Ellie", "Ellie", "Ellie", "Ellie", "Ellie", "Ellie"), 
                       Year = c(1880L, 1881L, 1882L, 1883L, 1883L, 1884L), 
                       Gender = c("F", "F", "F", "F", "M", "F"), 
                       Count = c(17L, 27L, 37L, 24L, 7L, 28L)), 
                  .Names = c("Name", "Year", "Gender", "Count"), 
                  row.names = c(NA, 6L), class = "data.frame")

#clean data----
base$name <- tolower(base$Name)
base$MF <- as.factor(base$Gender)

#add ranking data by Year
base <- base %>%
  group_by(Year) %>%
  arrange(Year, desc(Count)) %>%
  mutate(Rank = row_number())

#add ranking data by Year AND Gender
base <- base %>%
  group_by(Year, Gender) %>%
  arrange(Year, desc(Count)) %>%
  mutate(GenderRank = row_number())

#create functions----
#function to create line & heat charts
lineHeatCharts <- function(pickaname){
  pickanameLower <- tolower(pickaname)

  if(!any(base$name %in% pickanameLower)){
    return()
  }

  subDf <- subset(base[base$name == pickanameLower,])
  heat <- ggplot(subDf, aes(x = Year, y = MF, fill = Count)) +
    scale_fill_viridis(name = "",
                       option = "B", 
                       limits = c(0, max(subDf$Count))) +
    geom_tile(color = "white", size = 0) +
    theme_tufte() +
    theme(axis.text.x = element_text(angle = 90, vjust = 1, hjust = 1),
          axis.ticks.x = element_blank()) +
    scale_x_continuous(breaks = seq(min(subDf$Year),  max(subDf$Year), by = 5)) +
    labs(x = "Year", y = "")
  line <- ggplot(subDf, aes(x = Year, y = Count, fill = MF)) +
    geom_line(aes(colour = factor(subDf$Gender)), size = 1.5) +
    theme_tufte() +
    theme(axis.text.x = element_blank(),
          axis.ticks.x = element_blank()) +
    scale_x_continuous(breaks = seq(min(subDf$Year), 
                                    max(subDf$Year), by = 5)) +
    labs(x = "", y = "", color = "")
  return(grid.arrange(line, heat, ncol = 1, nrow = 2, heights = c(5, 2), top = max(subDf$Name)))
} 

ui <- fluidPage(theme = shinytheme("flatly"),

                # Application title
                titlePanel("First Names on U.S. Social Security Applications, 1880 - 2014"),

                sidebarLayout(
                  sidebarPanel(
                    textInput(inputId = "list", label = "Enter a name:", value = "Ellie"),

                    helpText("Note: This page will take about 30 seconds to load the first     time you open it. Data are from US Social Security applications via data.gov. For privacy, only names with at least 5 babies per year are included. Errors in Social Security form submission, like incorrect sex, are not corrected. Names with special characters and spaces are not included."),

                    submitButton("Refresh View")
                  ),
                  mainPanel(
                    h4(""),
                    plotOutput("view")
                  )
                )
)

server <- function(input, output, session) {

  output$view <- renderPlot({
    lineHeatCharts(input$list)
  })
}

shinyApp(ui, server)

Answer 2

事实证明存在两个问题： 1）我需要删除代码的setwd()第二行 2）闪亮的日志不起作用。

我发布在谷歌的Shiny论坛上，一位RStudio人员用日志解决了这个问题。一旦日志工作，我看到错误指向我尝试setwd。删除了，问题得到解决。保持这个问题是因为我确信这个问题会在某些时候困扰别人。

在本地加载闪亮的应用程序，在部署时与服务器断开连接

2 个答案: