添加统计请求的功能

static/test_interface4.html

@@ -129,20 +129,24 @@ async function submitTest() {
   setStatus('⏳ 调用AI视觉模型...', 'info'); $('resultsArea').classList.add('hidden');
 
   const fd = new FormData(); fd.append('image_file', f);
+  const _reqStart = performance.now();
   try {
     const r = await fetch(API_BASE + '/api/v1/face/features', { method:'POST', body:fd });
     const json = await r.json();
+    const _elapsed = ((performance.now() - _reqStart) / 1000).toFixed(2);
     $('jsonContent').textContent = JSON.stringify(json, null, 2);
     $('resultsArea').classList.remove('hidden');
 
     if (json.code === 0) {
       const feats = JSON.parse(json.data.features);
-      setStatus('✅ 分析完成 — ' + Object.keys(feats).length + ' 项特征', 'success');
+      setStatus('✅ 分析完成 (' + _elapsed + 's) — ' + Object.keys(feats).length + ' 项特征', 'success');
       renderFeatures(feats);
     } else {
-      setStatus('❌ code=' + json.code + ' ' + json.message, 'error');
+      setStatus('❌ (' + _elapsed + 's) code=' + json.code + ' ' + json.message, 'error');
     }
-  } catch(e) { setStatus('❌ ' + e.message, 'error'); $('resultsArea').classList.remove('hidden'); }
+  } catch(e) {
+    const _elapsed = ((performance.now() - _reqStart) / 1000).toFixed(2);
+    setStatus('❌ (' + _elapsed + 's) ' + e.message, 'error'); $('resultsArea').classList.remove('hidden'); }
   finally { $('submitBtn').disabled = false; $('submitBtn').textContent = '🚀 分析特征'; }
 }