feat(ssa): Complete T-test end-to-end testing with 9 bug fixes - Phase 1 core 85% complete. R service: missing value auto-filter. Backend: error handling, variable matching, dynamic filename. Frontend: module activation, session isolation, error propagation. Full flow verified.

Co-authored-by: Cursor <cursoragent@cursor.com>
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2026-02-19 20:57:00 +08:00
parent 8137e3cde2
commit 49b5c37cb1
86 changed files with 21207 additions and 252 deletions

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# plumber.R
# SSA-Pro R Statistics Service 入口文件
#
# 安全与性能优化:
# - 生产环境预加载所有工具脚本
# - tool_code 白名单正则校验(防止路径遍历攻击)
library(plumber)
library(jsonlite)
# 环境配置
DEV_MODE <- Sys.getenv("DEV_MODE", "false") == "true"
# 加载公共函数
source("utils/error_codes.R")
source("utils/data_loader.R")
source("utils/guardrails.R")
source("utils/result_formatter.R")
# 工具目录
tools_dir <- "tools"
tool_files <- list.files(tools_dir, pattern = "\\.R$", full.names = TRUE)
# ========== 生产环境预加载优化 ==========
# 在服务启动时预加载所有工具脚本到独立环境
# 避免每次请求都从磁盘读取和解析
# 工具缓存环境
TOOL_CACHE <- new.env(parent = emptyenv())
# 预加载函数
preload_tools <- function() {
message("[Init] 预加载工具脚本...")
for (f in tool_files) {
tool_name <- tools::file_path_sans_ext(basename(f))
# 创建独立环境加载工具
tool_env <- new.env(parent = globalenv())
source(f, local = tool_env)
# 检查是否实现了 run_analysis
if (exists("run_analysis", envir = tool_env, mode = "function")) {
TOOL_CACHE[[tool_name]] <- tool_env$run_analysis
message(paste("[Init] 已加载:", tool_name))
} else {
warning(paste("[Init] 工具缺少 run_analysis 函数:", tool_name))
}
}
message(paste("[Init] 预加载完成,共", length(ls(TOOL_CACHE)), "个工具"))
}
# 生产环境:启动时预加载
# 开发环境:跳过(支持热重载)
if (!DEV_MODE) {
preload_tools()
} else {
message("[Init] DEV_MODE 启用,跳过预加载(支持热重载)")
# 开发模式仍需首次加载
for (f in tool_files) source(f)
}
# ========== 安全校验函数 ==========
#' 校验 tool_code 格式(防止路径遍历攻击)
#' @param tool_code 工具代码
#' @return TRUE 如果格式合法,否则 FALSE
validate_tool_code <- function(tool_code) {
# 只允许:大写字母、数字、下划线
# 有效示例ST_T_TEST_IND, ST_ANOVA, T_TEST_IND
# 无效示例:../etc/passwd, ST_TEST;rm -rf
pattern <- "^[A-Z][A-Z0-9_]*$"
return(grepl(pattern, tool_code))
}
#' 将 tool_code 转换为工具名(小写,去除 ST_ 前缀)
#' @param tool_code 例如 "ST_T_TEST_IND"
#' @return 例如 "t_test_ind"
normalize_tool_name <- function(tool_code) {
name <- tolower(gsub("^ST_", "", tool_code))
return(name)
}
# ========== API 定义 ==========
#* @apiTitle SSA-Pro R Statistics Service
#* @apiDescription 严谨型统计分析 R 引擎
#* 健康检查
#* @get /health
function() {
list(
status = "ok",
timestamp = Sys.time(),
version = "1.0.1",
dev_mode = DEV_MODE,
tools_loaded = if (DEV_MODE) length(tool_files) else length(ls(TOOL_CACHE))
)
}
#* 列出已加载的工具
#* @get /api/v1/tools
function() {
if (DEV_MODE) {
tools <- gsub("\\.R$", "", basename(tool_files))
} else {
tools <- ls(TOOL_CACHE)
}
list(
status = "ok",
tools = tools,
count = length(tools)
)
}
#* 执行统计工具
#* @post /api/v1/skills/<tool_code>
#* @param tool_code:str 工具代码(如 ST_T_TEST_IND
#* @serializer unboxedJSON
function(req, tool_code) {
tryCatch({
# ===== 安全校验tool_code 白名单 =====
if (!validate_tool_code(tool_code)) {
return(list(
status = "error",
error_code = "E400",
message = "Invalid tool code format",
user_hint = "工具代码格式错误,只允许大写字母、数字和下划线"
))
}
# 解析请求体
input <- jsonlite::fromJSON(req$postBody, simplifyVector = FALSE)
# Debug 模式:保留临时文件用于排查
debug_mode <- isTRUE(input$debug)
# 统一入口函数名
func_name <- "run_analysis"
# 标准化工具名
tool_name <- normalize_tool_name(tool_code)
tool_file <- file.path("tools", paste0(tool_name, ".R"))
# ===== 根据环境选择加载策略 =====
if (DEV_MODE) {
# 开发环境:每次请求重新加载(支持热重载)
if (!file.exists(tool_file)) {
return(list(
status = "error",
error_code = "E100",
message = paste("Unknown tool:", tool_code),
user_hint = "请检查工具代码是否正确"
))
}
source(tool_file)
if (!exists(func_name, mode = "function")) {
return(list(
status = "error",
error_code = "E100",
message = paste("Tool", tool_code, "does not implement run_analysis()"),
user_hint = "工具脚本格式错误,请联系管理员"
))
}
# 执行分析
result <- do.call(func_name, list(input))
} else {
# 生产环境:从缓存加载
if (!exists(tool_name, envir = TOOL_CACHE)) {
return(list(
status = "error",
error_code = "E100",
message = paste("Unknown tool:", tool_code),
user_hint = "请检查工具代码是否正确,或联系管理员确认工具已部署"
))
}
# 从缓存获取函数并执行
cached_func <- TOOL_CACHE[[tool_name]]
result <- cached_func(input)
}
# Debug 模式:附加临时文件路径
if (debug_mode && !is.null(result$tmp_files)) {
result$debug_files <- result$tmp_files
message("[DEBUG] 临时文件已保留: ", paste(result$tmp_files, collapse = ", "))
}
return(result)
}, error = function(e) {
# 使用友好错误映射
return(map_r_error(e$message))
})
}