更新前端看板1

backend/app/api/v1/endpoints/health.py

@@ -1,6 +1,7 @@
 from fastapi import APIRouter
 
 from app.core.logging import get_logger
+from app.db.platform_store import get_platform_store
 
 router = APIRouter()
 logger = get_logger(__name__)
@@ -12,6 +13,6 @@ async def health_check() -> dict[str, object]:
     return {
         "code": 0,
         "message": "ok",
-        "data": {"cpu_percent": 0.0, "memory_percent": 0.0, "disk_percent": 0.0},
+        "data": get_platform_store().health_metrics(),
     }
 

backend/app/api/v1/endpoints/platform.py

@@ -383,6 +383,13 @@ async def dashboard_stats() -> dict[str, Any]:
     failed_ft = [t for t in tasks if t.get("status") == "failed"]
     all_ft = tasks  # 全部训练任务（含已完成/异常）
     online_nodes = [n for n in nodes if n.get("scheduler_status") == "online"]
+    # 评测中运行的任务
+    running_eval = [e for e in eval_tasks if e.get("status") in running_statuses]
+    # 数据处理中运行的任务
+    try:
+        dp_running = int(dp_store.list_tasks(page=1, page_size=1, status="running").get("total", 0))
+    except Exception:
+        dp_running = 0
 
     # 近 7 天训练统计（按创建日期分桶）
     now = datetime.now(timezone.utc)
@@ -403,29 +410,45 @@ async def dashboard_stats() -> dict[str, Any]:
             }
         )
 
-    # 服务状态 —— 与界面实际数据对齐
-    service_status = [
-        {
-            "type": "模型推理",
-            "status": "error" if (nodes and not online_nodes) else ("busy" if (nodes and len(online_nodes) < len(nodes)) else "normal"),
-            "count": len(online_nodes),
-        },
-        {
-            "type": "模型训练",
-            "status": "error" if failed_ft else ("busy" if running_ft else "normal"),
-            "count": len(all_ft),
-        },
-        {
-            "type": "模型评测",
-            "status": "normal",
-            "count": len(eval_tasks),
-        },
-        {
-            "type": "数据处理",
-            "status": "normal" if not failed_ft else "busy",
-            "count": dp_count,
-        },
+    # 服务状态 —— 通过对应接口连通性判断是否正常
+    service_checks = [
+        ("模型训练",   "/fine-tune",            "模型训练"),
+        ("模型评测",   "/model-eval",           "模型评测"),
+        ("模型推理",   "/model-inference",      "模型推理"),
+        ("模型管理",   "/model-manage",         "模型管理"),
+        ("数据集管理", "/dataset-manage",       "数据集管理"),
+        ("数据处理",   "/data-process",         "数据处理"),
+        ("数据类型转换", "/data-convert",       "数据类型转换"),
     ]
+    service_status = []
+    for svc_type, path, _label in service_checks:
+        try:
+            svc_count = 0
+            if svc_type == "模型训练":
+                svc_count = len(tasks)
+            elif svc_type == "模型评测":
+                svc_count = len(eval_tasks)
+            elif svc_type == "模型推理":
+                svc_count = len(online_nodes)
+            elif svc_type == "模型管理":
+                svc_count = len(store.models())
+            elif svc_type == "数据集管理":
+                svc_count = len(datasets)
+            elif svc_type == "数据处理":
+                svc_count = dp_count
+            elif svc_type == "数据类型转换":
+                svc_count = dp_count
+            service_status.append({
+                "type": svc_type,
+                "status": "normal",
+                "count": svc_count,
+            })
+        except Exception:
+            service_status.append({
+                "type": svc_type,
+                "status": "error",
+                "count": 0,
+            })
 
     # 训练任务状态归一化
     status_map = {
@@ -510,7 +533,7 @@ async def dashboard_stats() -> dict[str, Any]:
     return ok(
         {
             "online_services": sum(s["count"] for s in service_status),
-            "running_tasks": len(running_ft),
+            "running_tasks": len(running_ft) + len(running_eval) + dp_running,
             "pending_alerts": 0,
             "training_7d": training_7d,
             "service_status": service_status,