From 41558bdbea17acce9778a2456fdfbd700292e30d Mon Sep 17 00:00:00 2001
From: gaozhaochen <158975971@qq.com>
Date: Wed, 19 Nov 2025 14:08:48 +0800
Subject: [PATCH] =?UTF-8?q?feat(data):=201=E3=80=81[=E6=96=B0=E5=A2=9E?=
 =?UTF-8?q?=E5=8A=9F=E8=83=BD]=20=E4=BC=81=E4=B8=9A=E7=BA=A7=E9=9B=86?=
 =?UTF-8?q?=E6=88=90=EF=BC=9AToken=E9=89=B4=E6=9D=83=20+=20=E7=8E=AF?=
 =?UTF-8?q?=E5=A2=83=E5=8F=98=E9=87=8F=20+=20=E8=87=AA=E5=8A=A8=E5=8A=A0?=
 =?UTF-8?q?=E8=BD=BD?=
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---
 radiant.data/inst/app/server.R | 79 ++++++++++++++++++++++++++++++++++
 1 file changed, 79 insertions(+)

diff --git a/radiant.data/inst/app/server.R b/radiant.data/inst/app/server.R
index a904171..1800c78 100644
--- a/radiant.data/inst/app/server.R
+++ b/radiant.data/inst/app/server.R
@@ -13,6 +13,85 @@ shinyServer(function(input, output, session) {
     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,
+              # 添加 Bearer Token (或根据你的接口要求修改 Header)
+              httr::add_headers(Authorization = paste("Bearer", token)),
+              # 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(
+              fname = paste0(ds_name, ".xlsx"), # 虚拟文件名
+              uFile = tmp_file,                 # 实际文件路径
+              ext = "xlsx",
+              xlsx_sheet = 1,
+              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)
+          })
+        })
+      }
+    }
+  })
+  # ============================================================
+
+
   # dataviewer_proxy <- DT::dataTableProxy("dataviewer", session)
 
   # observe(session$setCurrentTheme(
-- 
2.22.0