fix: 推理/评测结果同步、数据集统计与算力节点管理增强

后端:
- 抽取 fetch_eval_result_content 复用函数，model_eval_detail 直接应用评测任务结果
- health 接口移除数据库依赖，返回静态指标
- 数据集: count_dataset_records JSON 感知计数; 文件统计改为从 dataset_files 聚合重算; 在线编辑记录 size/record_count/version_no; 上传同步批处理
- 算力节点: 调度支持 requested GPU 子集校验与容量计算; 新增 delete_compute_node(含活动任务保护)及 DELETE 接口; 连接池 connect_timeout
- 评测任务落库 basic_metrics/score/completed_time, failed/stopped 记录 error

评测引擎:
- _load_dataset 支持 JSON/JSONL 文件
- 新增 exact match 与文本相似度指标, 余弦相似度去掉 2 样本限制

前端:
- 算力节点列表「维护」改为「删除」(带确认弹窗), compute.ts 新增 deleteComputeNode
- 数据集上传超时调整为 120s; FineTuneTask 增加 compute_node_id; GpuInfo 状态增加 reserved

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

@@ -1,7 +1,6 @@
 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__)
@@ -10,5 +9,9 @@ logger = get_logger(__name__)
 @router.get("/health")
 async def health_check() -> dict[str, object]:
     logger.info("health check requested")
-    return {"code": 0, "message": "ok", "data": get_platform_store().health_metrics()}
+    return {
+        "code": 0,
+        "message": "ok",
+        "data": {"cpu_percent": 0.0, "memory_percent": 0.0, "disk_percent": 0.0},
+    }
 

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

@@ -15,7 +15,7 @@ from app.core.auth import filter_accessible_resource_ids, get_current_user, has_
 from app.core.config import get_settings
 from app.db.platform_store import get_platform_store
 from app.modules.compute_gateway.client import ComputeNodeClient
-from app.modules.compute_gateway.sync import poll_compute_jobs_once
+from app.modules.compute_gateway.sync import fetch_eval_result_content, poll_compute_jobs_once
 
 router = APIRouter()
 
@@ -915,6 +915,7 @@ async def upload_dataset_files(
 ) -> dict[str, Any]:
     created: list[dict[str, Any]] = []
     compute_sync: list[dict[str, Any]] = []
+    pending_sync: list[tuple[str, str, bytes]] = []
     store = get_platform_store()
     try:
         store.dataset(dataset_id)
@@ -926,16 +927,18 @@ async def upload_dataset_files(
             content = raw.decode("utf-8", errors="replace")
             created_file = store.add_dataset_file(conn, dataset_id, file.filename or "upload.jsonl", content)
             created.append(created_file)
-            if sync_to_compute:
-                compute_sync.extend(
-                    await _sync_dataset_file_to_compute_nodes(
-                        store,
-                        dataset_id,
-                        created_file["id"],
-                        created_file["name"],
-                        raw,
-                    )
+            pending_sync.append((created_file["id"], created_file["name"], raw))
+    if sync_to_compute:
+        for file_id, file_name, raw in pending_sync:
+            compute_sync.extend(
+                await _sync_dataset_file_to_compute_nodes(
+                    store,
+                    dataset_id,
+                    file_id,
+                    file_name,
+                    raw,
                 )
+            )
     return ok({"files": created, "compute_sync": compute_sync})
 
 
@@ -1273,8 +1276,7 @@ async def model_eval_detail(task_id: str, current_user: dict = Depends(get_curre
     try:
         store = get_platform_store()
         task = store.eval_task(task_id)
-        # If the eval job completed on a compute node, try to load results
-        if task.get("result_artifact_path"):
+        if task.get("compute_job_id") and task.get("compute_node_id") and task.get("status") in {"queued", "running", "completed"}:
             node = next(
                 (n for n in store.compute_nodes() if n["id"] == task.get("compute_node_id")),
                 None,
@@ -1283,11 +1285,10 @@ async def model_eval_detail(task_id: str, current_user: dict = Depends(get_curre
                 try:
                     client = ComputeNodeClient(node["api_base_url"])
                     job = await client.get_job(task["compute_job_id"])
-                    artifacts = job.get("artifacts") or []
-                    for art in artifacts:
-                        if art.get("name") == "eval_results.json":
-                            task["_result_artifact"] = art
-                            break
+                    result_content = None
+                    if job.get("status") == "completed" and not task.get("samples"):
+                        result_content = await fetch_eval_result_content(client, node, job)
+                    task = store.apply_eval_job_result(task_id, job, result_content)
                 except Exception:
                     pass
     except KeyError:
@@ -1790,6 +1791,16 @@ async def update_compute_node(node_id: str, payload: dict[str, Any] = Body(...))
         raise fail(400, str(exc))
 
 
+@router.delete("/compute/nodes/{node_id}")
+async def delete_compute_node(node_id: str) -> dict[str, Any]:
+    try:
+        return ok(get_platform_store().delete_compute_node(node_id))
+    except KeyError:
+        raise fail(404, "compute node not found")
+    except ValueError as exc:
+        raise fail(400, str(exc))
+
+
 @router.post("/compute/nodes/{node_id}/test-connection")
 async def test_compute_node(node_id: str) -> dict[str, Any]:
     store = get_platform_store()