Commit ae842bf1 authored by gaozhaochen's avatar gaozhaochen

add:

1、主模块启动时初始化并加载数据
parent 4fccc47c
...@@ -13,90 +13,6 @@ shinyServer(function(input, output, session) { ...@@ -13,90 +13,6 @@ shinyServer(function(input, output, session) {
source(file, encoding = enc, local = 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")
api_base <- Sys.getenv("HOST_API_BASE","https://ds.cixincloud.com/data-search-api")
# 5. 拼接完整 API 路径
# target_url <- paste0(api_base, "/disease-data/data/export/apply/apply/case?applyId=", dataset_id)
target_url <- paste0(api_base, "/research-project/generate-project-dataset/", 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(authentication = paste(token)),
# 将结果写入磁盘
httr::write_disk(tmp_file, overwrite = TRUE)
)
message("=== Request Log ===")
print(response$request)
message("===================")
# 检查 HTTP 状态码
if (httr::status_code(response) != 200) {
stop(paste("下载失败,请手动导入,HTTP状态码:", httr::status_code(response)))
}
incProgress(0.7, detail = "解析并导入 Radiant...")
# 8. 复用 Radiant 核心加载函数 (manage_ui.R 中定义)
# 这会自动完成读取、转因子、生成R代码、注册到下拉框等所有动作
load_user_data(
fname = paste0(ds_name, ".xlsx"), # 虚拟文件名
uFile = tmp_file, # 实际文件路径
ext = "xlsx",
xlsx_sheet = 1,
xlsx_header = TRUE,
man_str_as_factor = TRUE
)
# 9. 界面联动:选中数据并跳转到视图
updateSelectInput(session, "dataset", selected = ds_name)
updateTabsetPanel(session, "nav_radiant", selected = "Data")
updateTabsetPanel(session, "tabs_data", selected = "View") # 或者 "Visualize"
showNotification(paste("数据集", ds_name, "加载成功!"), type = "message")
}, error = function(e) {
showNotification(paste("数据同步失败,请手动导入数据:", e$message), type = "error", duration = 10)
#调试打印 print(e)
})
})
}
}
})
# ============================================================
# dataviewer_proxy <- DT::dataTableProxy("dataviewer", session) # dataviewer_proxy <- DT::dataTableProxy("dataviewer", session)
......
# ============================================================
# [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")
api_base <- Sys.getenv("HOST_API_BASE","https://ds.cixincloud.com/data-search-api")
# 5. 拼接完整 API 路径
# target_url <- paste0(api_base, "/disease-data/data/export/apply/apply/case?applyId=", dataset_id)
target_url <- paste0(api_base, "/research-project/generate-project-dataset/", 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(authentication = paste(token)),
# 将结果写入磁盘
httr::write_disk(tmp_file, overwrite = TRUE)
)
message("=== Request Log ===")
print(response$request)
message("===================")
# 检查 HTTP 状态码
if (httr::status_code(response) != 200) {
stop(paste("下载失败,请手动导入,HTTP状态码:", httr::status_code(response)))
}
incProgress(0.7, detail = "解析并导入 Radiant...")
# 8. 复用 Radiant 核心加载函数 (manage_ui.R 中定义)
# 这会自动完成读取、转因子、生成R代码、注册到下拉框等所有动作
load_user_data(
fname = paste0(ds_name, ".xlsx"), # 虚拟文件名
uFile = tmp_file, # 实际文件路径
ext = "xlsx",
xlsx_sheet = 1,
xlsx_header = TRUE,
man_str_as_factor = TRUE
)
# 9. 界面联动:选中数据并跳转到视图
updateSelectInput(session, "dataset", selected = ds_name)
updateTabsetPanel(session, "nav_radiant", selected = "Data")
updateTabsetPanel(session, "tabs_data", selected = "View") # 或者 "Visualize"
showNotification(paste("数据集", ds_name, "加载成功!"), type = "message")
}, error = function(e) {
showNotification(paste("数据同步失败,请手动导入数据:", e$message), type = "error", duration = 10)
#调试打印 print(e)
})
})
}
}
})
# ============================================================
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