我正在尝试创建一个基于用户查询提供库存信息的webap。所有数据都位于一个平面文件中，我目前在Windows 7（64位）上运行R版本3.2.5（2016-04-14）。
在用户提交查询后，我试图弄清楚如何根据输入查询提供相应的pdf，然后单击新的操作按钮以打开pdf。所有的pdf（数千个）都存储在我的www目录btw ...
中我查看了很多帖子，但它们都与在UI脚本中使用iframe或window.open（）打开单个pdf文件有关。这工作正常，但我无法弄清楚如何在服务器端生成多个文件的对象。
我的代码：
shinyUI(fluidPage(
tags$head(
tags$style(type="text/css", ".dataTables_filter {display: none; }", "tfoot {display:none;}",HTML("
@import url('//fonts.googleapis.com/css?family=Arima+Madurai|Cabin:400,700');
h1 {
font-family: 'Arima+Madurai', bold;
font-weight: 500;
line-height: 1.1;
}
"))
),
headerPanel("Chem-Share Search Page"),
# Application title
title="Chem-Share Search Page",
# Sidebar with controls to select a dataset
sidebarLayout(
sidebarPanel(
conditionalPanel("Search by Chemicals",
selectizeInput("obs", "Query Chemical Name",choices=NULL, options = list(maxOptions = 5137)),
textInput("txt","Query Barcode, CAS#, or CAT#"),
actionButton("submit", "Submit")),
actionButton('pdfview', 'View SDS', onclick = "window.open('2-Propanol.pdf')") #### this works when I know the pdf, but how to make it work from subseting a list of pdf's storred locally
),
# Show a summary of the dataset and a data table
mainPanel(
tabsetPanel(
tabPanel('By Name', dataTableOutput('mytable1')),
tabPanel('By Catalog #', dataTableOutput('mytable2')),
tabPanel('By Barcode', dataTableOutput('mytable3')),
tabPanel('By CAS #',dataTableOutput('mytable4')),
tags$head(
tags$style(type = "text/css", "a{color: #000000;}")
)
)
)
),
includeHTML("www/mail_to.html"))
)
服务器
require(dplyr);require(data.table);require(xlsx)
locals<- getwd()
shinyServer(function(input, output,session) {
values <- reactiveValues(default = 0)
omw_inventory_2016 <- as.data.table(read.csv("2016_inventory_database.csv",stringsAsFactors = F, encoding = 'UTF-8',na.strings = c("NA","N/A","","none","lookup","look.up","look up")))
omw_inventory_2016<-omw_inventory_2016[Transaction.Type!="Disposal"][Transaction.Type!="Dispose"]
searching <- unique(omw_inventory_2016$Product.Name)
uom <- read.csv("Inventory_Instruction_.csv",stringsAsFactors = F)
new_omw <- merge(omw_inventory_2016,uom,by="Unit.of.Measure",all.x = TRUE)
omw_inventory_2016<- new_omw;rm(new_omw)
sds <- as.data.table(read.csv("sds_list.csv",stringsAsFactors = F))
sds<- sds %>% select(Product.Name,Product.Code,sds1)
import <-read.xlsx("2310.xlsx",sheetName = "Sheet2",stringsAsFactors = F,header = T)
updateSelectizeInput(session,"obs",choices=searching,server=TRUE)
observeEvent(input$submit,{values$default <- input$submit})
setkey(omw_inventory_2016,"Product.Name")
output$downloadData <- downloadHandler(
filename = function(){paste("chem_share_template",".csv",sep = "")},
content = function(file){
write.csv(import,file)
}
)
# ### **I am trying to subset the pdf name to generate the filepath**
# **Does not work**
# output$pdfview <- renderText({
# pdfs<-sds[Product.Code %chin% input$txt,sds1]
# # pdfs<- paste("file:///",locals,"/www/",pdfs,sep = "")
# # pdfs
#
# })
# **I have tried this too**
# view_pdf<- function(important){
# pdfs<-sds[Product.Code %chin% input$txt,sds1]
# pdfs<- paste('"file:///',locals,'/www/',pdfs,'"',sep = "")
# paste('src=',pdfs,',style="height:100%; width:100%; scrolling:yes"',sep="")
# }
#
# output$pdfview <- renderText({view_pdf(input$txt)})
#
#
output$mytable1 <- renderDataTable({
if(values$default==0){
omw_inventory_2016[grep("Ethynyltrimethylsilane",omw_inventory_2016$Product.Name,ignore.case = T),.(Chemical=Product.Name,Manufacture=Manufacturer.Name,Catalog=Product.Code, Floor=Floor,Amount=Amount.per.Container,UOM=UoM )]
}
else{
omw_inventory_2016[Product.Name==input$obs,.(Chemical=Product.Name,Manufacture=Manufacturer.Name,Catalog=Product.Code, Floor=Floor,Amount=Amount.per.Container,UOM=UoM)]
}
})
output$mytable2 <- renderDataTable({
if(values$default==0){
omw_inventory_2016[grep("Ethynyltrimethylsilane",omw_inventory_2016$Product.Name,ignore.case = T),.(Chemical=Product.Name,Manufacture=Manufacturer.Name,Catalog=Product.Code, Floor=Floor,Amount=Amount.per.Container,UOM=UoM)]
}
else{
omw_inventory_2016[Product.Code %chin% input$txt,.(Chemical=Product.Name,Manufacture=Manufacturer.Name,Catalog=Product.Code, Floor=Floor,Amount=Amount.per.Container,UOM=UoM)]
}
})
output$mytable3 <- renderDataTable({
if(values$default==0){
omw_inventory_2016[grep("Ethynyltrimethylsilane",omw_inventory_2016$Product.Name,ignore.case = T),.(Chemical=Product.Name,Manufacture=Manufacturer.Name,Catalog=Product.Code, Floor=Floor,Amount=Amount.per.Container,UOM=UoM)]
}
else{
omw_inventory_2016[MBC %chin% input$txt,.(Chemical=Product.Name,Manufacture=Manufacturer.Name,Catalog=Product.Code, Floor=Floor,Amount=Amount.per.Container,UOM=UoM)]
}
})
output$mytable4 <- renderDataTable({
if(values$default==0){
omw_inventory_2016[grep("Ethynyltrimethylsilane",omw_inventory_2016$Product.Name,ignore.case = T),.(Chemical=Product.Name,Manufacture=Manufacturer.Name,Catalog=Product.Code, Floor=Floor,Amount=Amount.per.Container,UOM=UoM)]
}
else{
omw_inventory_2016[Ingredient.CAS %chin% input$txt,.(Chemical=Product.Name,Manufacture=Manufacturer.Name,Catalog=Product.Code, Floor=Floor,Amount=Amount.per.Container,UOM=UoM)]
}
})
})