R Shiny文件上传校验与Reset按钮清空日历功能咨询

修改说明 #

• 针对文件上传校验需求：在文件读取逻辑中增加两层校验，第一层校验文件后缀是否为xlsx，第二层校验读取后的数据是否包含所需的必填列，校验失败时弹出顶部短提示。
• 针对Reset清空需求：将数据存储对象改为可手动赋值的reactiveVal，点击Reset时直接将数据重置为NULL，所有依赖数据生成的组件（日期选择框、分类下拉框、绘图）会自动隐藏，仅保留文件上传组件。

完整修改后代码 #

library(shiny)
library(shinythemes)
library(dplyr)
library(tidyverse)
library(lubridate)
library(stringr)
library(readxl)
library(shinyjs)

function.test<-function(){
  df1 <- structure(
    list(date1= c("2021-06-28","2021-06-28","2021-06-28"),
         date2 = c("2021-07-01","2021-07-02","2021-07-04"),
         Category = c("ABC","ABC","ABC"),
         Week= c("Wednesday","Wednesday","Wednesday"),
         DR1 = c(4,1,0),
         DR01 = c(4,1,0), DR02= c(4,2,0),DR03= c(9,5,0),
         DR04 = c(5,4,0),DR05 = c(5,4,0),DR06 = c(5,4,0),DR07 = c(5,4,0),DR08 = c(5,4,0)),
    class = "data.frame", row.names = c(NA, -3L))
  return(df1)
}

f1 <- function(df1, dmda, CategoryChosse) {
  x<-df1 %>% select(starts_with("DR0"))
  x<-cbind(df1, setNames(df1$DR1 - x, paste0(names(x), "_PV")))
  PV<-select(x, date2,Week, Category, DR1, ends_with("PV"))
  med<-PV %>%
    group_by(Category,Week) %>%
    summarize(across(ends_with("PV"), median))
  SPV<-df1%>%
    inner_join(med, by = c('Category', 'Week')) %>%
    mutate(across(matches("^DR0\\d+$"), ~.x + 
                    get(paste0(cur_column(), '_PV')),
                  .names = '{col}_{col}_PV')) %>%
    select(date1:Category, DR01_DR01_PV:last_col())
  SPV<-data.frame(SPV)
  mat1 <- df1 %>%
    filter(date2 == dmda, Category == CategoryChosse) %>%
    select(starts_with("DR0")) %>%
    pivot_longer(cols = everything()) %>%
    arrange(desc(row_number())) %>%
    mutate(cs = cumsum(value)) %>%
    filter(cs == 0) %>%
    pull(name)
  (dropnames <- paste0(mat1,"_",mat1, "_PV"))
  SPV <- SPV %>%
    filter(date2 == dmda, Category == CategoryChosse) %>%
    select(-any_of(dropnames))
  if(length(grep("DR0", names(SPV))) == 0) {
    SPV[head(mat1,10)] <- NA_real_
  }
  datas <-SPV %>%
    filter(date2 == ymd(dmda)) %>%
    group_by(Category) %>%
    summarize(across(starts_with("DR0"), sum)) %>%
    pivot_longer(cols= -Category, names_pattern = "DR0(.+)", values_to = "val") %>%
    mutate(name = readr::parse_number(name))
  colnames(datas)[-1]<-c("Days","Numbers")
  datas <- datas %>% 
    group_by(Category) %>% 
    slice((as.Date(dmda) - min(as.Date(df1$date1) [
      df1$Category == first(Category)])):max(Days)+1) %>%
    ungroup
  m<-df1 %>%
    group_by(Category,Week) %>%
    summarize(across(starts_with("DR1"), mean))
  m<-subset(m, Week == df1$Week[match(ymd(dmda), ymd(df1$date2))] & Category == CategoryChosse)$DR1
  maxrange <-  range(min(0, datas$Numbers, na.rm = TRUE), na.rm = TRUE)
  maxrange[2] <- maxrange[2] - (maxrange[2] %%10) + 35
  max<-max(0, datas$Days, na.rm = TRUE)+1
  plot(Numbers ~ Days,  xlim= c(0,max),  ylim= c(0,maxrange[2]),
       xaxs='i',data = datas,main = paste0(dmda, "-", CategoryChosse))
  if (nrow(datas)<=2){
    abline(h=m,lwd=2) 
    points(0, m, col = "red", pch = 19, cex = 2, xpd = TRUE)
    text(.1,m+ .5, round(m,1), cex=1.1,pos=4,offset =1,col="black")}
  else if(any(table(datas$Numbers) >= 3) & length(unique(datas$Numbers)) == 1){
    yz <- unique(datas$Numbers)
    lines(c(0,datas$Days), c(yz, datas$Numbers), lwd = 2)
    points(0, yz, col = "red", pch = 19, cex = 2, xpd = TRUE)
    text(.1,yz+ .5,round(yz,1), cex=1.1,pos=4,offset =1,col="black")}
  else{
    mod <- nls(Numbers ~ b1*Days^2+b2,start = list(b1 = 0,b2 = 0),data = datas, algorithm = "port")
    new.data <- data.frame(Days = with(datas, seq(min(Days),max(Days),len = 45)))
    new.data <- rbind(0, new.data)
    lines(new.data$Days,predict(mod,newdata = new.data),lwd=2)
    coef<-coef(mod)[2]
    points(0, coef, col="red",pch=19,cex = 2,xpd=TRUE)
    text(.99,coef + 1,max(0, round(coef,1)), cex=1.1,pos=4,offset =1,col="black")
  }
}

ui <- fluidPage(
  useShinyjs(),
  shiny::navbarPage(theme = shinytheme("flatly"), collapsible = TRUE,
                          br(),
                          tabPanel("",
                                   sidebarLayout(
                                     sidebarPanel(
                                       br(),
                                       uiOutput('fileInput'),
                                       br(),
                                       uiOutput("date"),
                                       uiOutput("mycode"),
                                       actionButton("reset", "Reset"),
                                       br(),
                                     ),
                                     mainPanel(
                                       tabsetPanel(
                                         tabPanel("", plotOutput("graph",width = "100%", height = "600")
                                         )
                                       ),
                                     ))
                          )))

server <- function(input, output,session) {
  # 用reactiveVal存储数据，方便手动重置
  data <- reactiveVal(NULL)
  
  # 监听文件上传事件，加校验逻辑
  observeEvent(input$file, {
    if (is.null(input$file)) {
      data(NULL)
      return()
    }
    # 校验1：文件后缀是否为xlsx
    file_ext <- tolower(tools::file_ext(input$file$name))
    if (file_ext != "xlsx") {
      showNotification("您上传的文件不正确", type = "error", duration = 3)
      data(NULL)
      return()
    }
    # 读取文件
    df3 <- tryCatch(read_excel(input$file$datapath), error = function(e) {
      showNotification("您上传的文件不正确", type = "error", duration = 3)
      return(NULL)
    })
    if (is.null(df3)) {
      data(NULL)
      return()
    }
    # 校验2：列名是否符合要求
    required_cols <- c("date1", "date2", "Category", "Week", "DR1")
    if (!all(required_cols %in% colnames(df3)) || length(grep("^DR0", colnames(df3))) == 0) {
      showNotification("您上传的文件不正确", type = "error", duration = 3)
      data(NULL)
      return()
    }
    # 校验通过，赋值数据
    data(df3)
  })
  
  output$fileInput <- renderUI({
    fileInput("file",h4("Import file"), multiple = T, accept = ".xlsx")
  })
  
  output$date <- renderUI({
    req(data())
    all_dates <- seq(as.Date('2021-01-01'), as.Date('2021-01-15'), by = "day")
    disabled <- as.Date(setdiff(all_dates, as.Date(data()$date2)), origin = "1970-01-01")
    dateInput(input = "date2", 
              label = h4("Data"),
              min = min(data()$date2),
              value = min(data()$date2),
              format = "dd-mm-yyyy",
              datesdisabled = disabled)
  })
  
  output$mycode <- renderUI({
    req(input$date2, data())
    df1 <- data()
    df2 <- df1[as.Date(df1$date2) %in% input$date2,]
    selectInput("code", label = h4("Category"),choices=unique(df2$Category))
  })
  
  output$graph <- renderPlot({
    req(input$date2, input$code, data())
    f1(data(), as.character(input$date2), as.character(input$code))
  })
  
  # 重置逻辑
  observeEvent(input$reset, {
    # 清空数据
    data(NULL)
    # 重置文件上传组件
    reset("fileInput")
  })
}

shinyApp(ui = ui, server = server)

内容的提问来源于stack exchange，提问作者Antonio