v2.4.1 评测站同步带硬件：新增 /api/gpu 自动探测本机GPU，评测站同步卡片加硬件/GPU字段(🔍探测可改)，发送到评测站时随结果一并提交硬件

app.py

@@ -2,6 +2,7 @@
 """LLM 速度测试台 - Flask 主应用"""
 import io
 import json
+import subprocess
 
 import requests
 from flask import Flask, jsonify, request, send_file, send_from_directory
@@ -24,6 +25,19 @@ def index():
     return send_from_directory(app.static_folder, "index.html")
 
 
+@app.route("/api/gpu")
+def gpu_info():
+    """自动探测本机 GPU（nvidia-smi），供评测站同步时标注硬件"""
+    try:
+        out = subprocess.check_output(
+            ["nvidia-smi", "--query-gpu=name", "--format=csv,noheader"],
+            text=True, timeout=5, stderr=subprocess.DEVNULL)
+        gpus = [g.strip() for g in out.strip().splitlines() if g.strip()]
+        return jsonify({"ok": True, "gpus": gpus, "label": " / ".join(gpus)})
+    except Exception as e:
+        return jsonify({"ok": True, "gpus": [], "label": "", "error": str(e)})
+
+
 @app.route("/api/health")
 def health():
     running = [tid for tid, r in RUNNERS.items() if r.is_alive()]

static/index.html

@@ -126,6 +126,13 @@
           <label>评测站账号（结果挂到该账号下）</label>
           <div class="icon-input"><span class="icon">👥</span><input id="eval-account" placeholder="如：性能评测组"></div>
         </div>
+        <div class="field">
+          <label>硬件 / GPU（自动探测可修改，随结果一并发送）</label>
+          <div class="row">
+            <div class="icon-input"><span class="icon">🖥</span><input id="eval-hardware" placeholder="如：NVIDIA A100 80G"></div>
+            <button class="btn small" id="btn-detect-gpu" title="自动探测本机GPU">🔍 探测</button>
+          </div>
+        </div>
         <button class="btn block" id="btn-eval-test">🔗 测试连接</button>
         <div class="conn-result" id="eval-result" hidden></div>
         <div class="hint" style="margin-top:6px">测试完成后，在历史列表或详情里点「📤 发送到评测站」，一键把结果发布到模型评测网站（端口 16066）对应账号下。</div>

static/js/app.js

@@ -833,19 +833,41 @@ function evalSettings() {
   return {
     url: (localStorage.getItem("evalUrl") || "http://127.0.0.1:16066").replace(/\/+$/, ""),
     account: localStorage.getItem("evalAccount") || "默认账号",
+    hardware: localStorage.getItem("evalHardware") || "",
   };
 }
 
 function loadEvalSettings() {
   const s = evalSettings();
-  const u = $("#eval-url"), a = $("#eval-account");
+  const u = $("#eval-url"), a = $("#eval-account"), h = $("#eval-hardware");
   if (u) u.value = s.url;
   if (a) a.value = s.account;
+  if (h) h.value = s.hardware;
 }
 
 function saveEvalSettings() {
   localStorage.setItem("evalUrl", $("#eval-url").value.trim() || "http://127.0.0.1:16066");
   localStorage.setItem("evalAccount", $("#eval-account").value.trim() || "默认账号");
+  localStorage.setItem("evalHardware", $("#eval-hardware").value.trim() || "");
+}
+
+async function detectGpu() {
+  const box = $("#eval-result");
+  try {
+    const r = await api("/api/gpu");
+    if (r.label) {
+      $("#eval-hardware").value = r.label;
+      saveEvalSettings();
+      box.hidden = false; box.className = "conn-result ok";
+      box.textContent = `✅ 已探测到 GPU：${r.label}`;
+    } else {
+      box.hidden = false; box.className = "conn-result fail";
+      box.textContent = "未探测到 GPU（nvidia-smi 不可用），可手动填写硬件描述";
+    }
+  } catch (e) {
+    box.hidden = false; box.className = "conn-result fail";
+    box.textContent = "❌ 探测失败：" + e.message;
+  }
 }
 
 async function testEvalConn() {
@@ -888,6 +910,7 @@ async function sendToEval(id) {
     source_site: "llm-speed-tester",
     provider: t.provider || "",
     model: t.model || "",
+    hardware: s.hardware,
     test_name: t.name || "",
     summary: t.summary || {},
     gen: t.gen || {},
@@ -951,6 +974,7 @@ function bind() {
 
   $("#btn-test-conn").addEventListener("click", testConnection);
   $("#btn-eval-test").addEventListener("click", testEvalConn);
+  $("#btn-detect-gpu").addEventListener("click", detectGpu);
   $("#btn-start").addEventListener("click", startTest);
   $("#btn-cancel").addEventListener("click", stopTest);
   $("#btn-context-add").addEventListener("click", addContextLength);