inst/shinyApp/tabs/tab_download/server_download.R

# Enable or disable the predictor table button
observe({
  checkReload()
  if (required()) {
    shinyjs::enable("download_pred")
  } else {
    shinyjs::disable("download_pred")
    
  }
})

# Write the prediction table
shiny::observeEvent(
  eventExpr = input$download_pred,
  handlerExpr = {
    volumes <- c(Home = fs::path_home(), "R Installation" = R.home(), shinyFiles::getVolumes()())
    session = getDefaultReactiveDomain()
    shinyFiles::shinyFileSave(input = input,id = "download_pred",roots = volumes,session = session,
                              restrictions = system.file(package = "base"))
      
    fileinfo <- shinyFiles::parseSavePath(roots = volumes, selection = input$download_pred)
      if (nrow(fileinfo) != 0){
        #if(input$downloadCSV2$filetype == ".csv"){
          write.table(predictors(), fileinfo$datapath, row.names = TRUE, col.names = NA, sep = ",")
      }
  }
)

# Enable or disable the calibration table button
observe({
  checkReload()
  # if (required() & ! is.null(phen_input$inDir)) {
  #   shinyjs::enable("download_calib")
  # } else {
  #   shinyjs::disable("download_calib")
  # }
  activateButtn(check1=required(), check2=!is.null(phen_input$inDir), button="download_calib")
})
# Write the calibration table
shiny::observeEvent(
  eventExpr = input$download_calib,
  handlerExpr = {
    volumes <- c(Home = fs::path_home(), "R Installation" = R.home(), shinyFiles::getVolumes()())
    session = getDefaultReactiveDomain()
    shinyFiles::shinyFileSave(input = input,id = "download_calib",roots = volumes,session = session,
                              restrictions = system.file(package = "base"))
    fileinfo <- shinyFiles::parseSavePath(roots = volumes, selection = input$download_calib)
    if (nrow(fileinfo) > 0){
      write.table(calib_data_frame(calibrations(), metabo_measures(), bin_pheno_available()),
        fileinfo$datapath, row.names = TRUE, col.names = NA,sep = ",")
    }
  }
)

# Enable or disable the Report button
observe({
  checkReload()
  # if (required() & ! is.null(phen_input$inDir)) {
  #   shinyjs::enable("download_html")
  # } else {
  #   shinyjs::disable("download_html")
  # }
  activateButtn(check1=required(), check2=!is.null(phen_input$inDir), button="download_html")
})

#Write the Report with phenotypes
shiny::observeEvent(
  eventExpr = input$download_html,
  handlerExpr = {
    #volumes <- c(Home = fs::path_home(), "R Installation" = R.home(), shinyFiles::getVolumes()())
    volumes<-getvol()
    session = getDefaultReactiveDomain()
    shinyFiles::shinyFileSave(input = input, id = "download_html",roots = volumes,session = session,
                              restrictions = system.file(package = "base"))

    fileinfo <- shinyFiles::parseSavePath(roots = volumes, selection = input$download_html)
    if (nrow(fileinfo) > 0){
      suppressWarnings(require(rmarkdown))
      suppressWarnings(require(knitr))
      shiny::withProgress(message = paste0("Preparing Analysis report"), value = 0, {
          shiny::incProgress(1/10)
          Sys.sleep(1)
          tempReport <- file.path("markdown/Rshiny_markdown.Rmd")
          file.copy("Rshiny_markdown.Rmd", tempReport, overwrite = TRUE)
          # Set up parameters to pass to Rmd document
          params<-list(metabo_measures=metabo_measures(), phenotypes=phenotypes(), bin_phenotypes=bin_phenotypes(),
                       bin_pheno_available=bin_pheno_available(), mort_score=mort_score(), MetaboAge=MetaboAge(),
                       surrogates=surrogates(), predictors=predictors(), calibrations=calibrations(), Nbins=input$Nbins,
                       Nmax_miss_metaboAge=input$Nmax_miss_metaboAge, Nmax_zero_metaboAge=input$Nmax_miss_metaboAge,
                       Nmax_miss_surrogates=input$Nmax_miss_metaboAge,Nmax_zero_surrogates=input$Nmax_miss_metaboAge
          )
          shiny::incProgress(5/10)
          Sys.sleep(1)
          suppressWarnings(rmarkdown::render(tempReport, output_file = fileinfo$datapath, params = params,envir = new.env(parent = globalenv())))
          shiny::incProgress(10/10)
        })
    }
  }
)

# shiny::observeEvent(
#   eventExpr = input$download_html,
#   dowloadRmkdwn(type="pheno")
# )

# Enable or disable the Report button without phenotypes information
observe({
  checkReload()
  if (required()) {
    shinyjs::enable("download_html_no_pheno")
  } else {
    shinyjs::disable("download_html_no_pheno")
  }
})

#write Report button without phenotypes information
shiny::observeEvent(
  eventExpr = input$download_html_no_pheno,
  handlerExpr = {
    volumes <- c(Home = fs::path_home(), "R Installation" = R.home(), shinyFiles::getVolumes()())
    session = getDefaultReactiveDomain()
    shinyFiles::shinyFileSave(input = input,id = "download_html_no_pheno",roots = volumes,session = session,
                              restrictions = system.file(package = "base"))
    
    
    fileinfo <- shinyFiles::parseSavePath(roots = volumes, selection = input$download_html_no_pheno)
    if (nrow(fileinfo) > 0){
      suppressWarnings(require(rmarkdown))
      suppressWarnings(require(knitr))
      shiny::withProgress(message = paste0("Preparing Analysis report"), value = 0,{
          shiny::incProgress(1/10)
          Sys.sleep(1)
          tempReport <- file.path("markdown/Rshiny_markdown_no_pheno.Rmd")
          file.copy("Rshiny_markdown_no_pheno.Rmd", tempReport, overwrite = TRUE)
          # Set up parameters to pass to Rmd document
          params<-list(metabo_measures=metabo_measures(),mort_score=mort_score(),MetaboAge=MetaboAge(),
                       surrogates=surrogates(),predictors=predictors(), Nmax_miss_metaboAge=input$Nmax_miss_metaboAge,
                       Nmax_zero_metaboAge=input$Nmax_miss_metaboAge, Nmax_miss_surrogates=input$Nmax_miss_metaboAge, Nmax_zero_surrogates=input$Nmax_miss_metaboAge)
          shiny::incProgress(5/10)
          Sys.sleep(1)
          suppressWarnings(rmarkdown::render(tempReport, output_file = fileinfo$datapath, params = params, envir = new.env(parent = globalenv())))
          shiny::incProgress(10/10)
        })
    }
  }
)

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MiMIR documentation built on May 29, 2024, 5:38 a.m.