将导入xlsx改为导入全部sheet

radiant.data/inst/app/server.R

 shinyServer(function(input, output, session) {
   enc <- getOption("radiant.encoding", "UTF-8")
-
+  
   ## source shared functions
   source("init.R", encoding = enc, local = TRUE)
   source("radiant.R", encoding = enc, local = TRUE)
-
+  
   ## packages to use for example data
   options(radiant.example.data = "radiant.data")
-
+  
   ## source data & analysis tools
   for (file in list.files(c("tools/app", "tools/data"), pattern = "\\.(r|R)$", full.names = TRUE)) {
     source(file, encoding = enc, local = TRUE)
   }
-
+  
   # ============================================================
   # [新增功能] 企业级集成：Token鉴权 + 环境变量 + 自动加载
   # ============================================================
   observe({
     # 1. 解析 URL 参数
     query <- parseQueryString(session$clientData$url_search)
-
+    
     dataset_id <- query[['datasetId']]
     token <- query[['token']]
-
+    
     # 2. 仅当 ID 和 Token 均存在时执行
     if (!is.null(dataset_id) && !is.null(token)) {
-
+      
       # 定义 Radiant 内部使用的数据集名称 (例如: data_10086)
       # 如果 URL 传了 name 参数就用 name，否则用 id 拼接
       ds_name <- if (!is.null(query[['name']])) query[['name']] else paste0("data_", dataset_id)
-
+      
       # 3. 检查数据是否已存在 (防止重复加载)
       if (is.null(r_data[[ds_name]])) {
-
+        
         withProgress(message = '正在从业务系统同步数据...', value = 0.2, {
-
+          
           # 4. 获取环境变量中的 API 基地址
           api_base <- Sys.getenv("HOST_API_BASE","http://127.0.0.1:11999")
-
+          
           # 5. 拼接完整 API 路径
           target_url <- paste0(api_base, "/disease-data/data/export/apply/apply/case?applyId=", dataset_id)
-
+          
           # 6. 创建临时文件 (明确 .xlsx 后缀)
           tmp_file <- tempfile(fileext = ".xlsx")
-
+          
           tryCatch({
             incProgress(0.3, detail = "正在鉴权并下载...")
-
+            
             # 7. 发起带 Token 的 HTTP 请求
             response <- httr::POST(
               url = target_url,
@@ -55,14 +55,14 @@ shinyServer(function(input, output, session) {
               # 将结果写入磁盘
               httr::write_disk(tmp_file, overwrite = TRUE)
             )
-
+            
             # 检查 HTTP 状态码
             if (httr::status_code(response) != 200) {
               stop(paste("下载失败，请手动导入，HTTP状态码:", httr::status_code(response)))
             }
-
+            
             incProgress(0.7, detail = "解析并导入 Radiant...")
-
+            
             # 8. 复用 Radiant 核心加载函数 (manage_ui.R 中定义)
             # 这会自动完成读取、转因子、生成R代码、注册到下拉框等所有动作
             load_user_data(
@@ -73,14 +73,14 @@ shinyServer(function(input, output, session) {
               xlsx_header = TRUE,
               man_str_as_factor = TRUE
             )
-
+            
             # 9. 界面联动：选中数据并跳转到视图
             updateSelectInput(session, "dataset", selected = ds_name)
             updateTabsetPanel(session, "nav_radiant", selected = "Data")
             updateTabsetPanel(session, "tabs_data", selected = "View") # 或者 "Visualize"
-
+            
             showNotification(paste("数据集", ds_name, "加载成功！"), type = "message")
-
+            
           }, error = function(e) {
             showNotification(paste("数据同步失败，请手动导入数据:", e$message), type = "error", duration = 10)
             #调试打印 print(e)
@@ -90,10 +90,10 @@ shinyServer(function(input, output, session) {
     }
   })
   # ============================================================
-
-
+  
+  
   # dataviewer_proxy <- DT::dataTableProxy("dataviewer", session)
-
+  
   # observe(session$setCurrentTheme(
   #   if (isTRUE(input$dark_mode)) {
   #     bslib::bs_theme(version = 4, bg = "black", fg = "white")
@@ -101,7 +101,7 @@ shinyServer(function(input, output, session) {
   #     bslib::bs_theme(version = 4)
   #   }
   # ))
-
+  
   ## save state on refresh or browser close
   saveStateOnRefresh(session)
 })