Gate real train curve evidence

backend/app/agents/evaluation_agent.py

@@ -30,6 +30,7 @@ def evaluate_project() -> dict:
     backend = settings.project_root / "backend" / "app" / "main.py"
     jobs_backend = settings.project_root / "backend" / "app" / "jobs.py"
     readme = settings.project_root / "README.md"
+    results_service = settings.project_root / "backend" / "app" / "modules" / "results" / "service.py"
     catalog = get_catalog()
     coverage = get_coverage_report()
     checks = []
@@ -39,6 +40,7 @@ def evaluate_project() -> dict:
     backend_text = backend.read_text(encoding="utf-8") if backend.exists() else ""
     jobs_text = jobs_backend.read_text(encoding="utf-8") if jobs_backend.exists() else ""
     acceptance_text = (settings.project_root / "backend" / "app" / "acceptance.py").read_text(encoding="utf-8")
+    results_service_text = results_service.read_text(encoding="utf-8") if results_service.exists() else ""
     readme_text = readme.read_text(encoding="utf-8") if readme.exists() else ""
 
     expectations = {
@@ -119,6 +121,9 @@ def evaluate_project() -> dict:
         and "best_weight" in frontend_text
         and "results_csv" in frontend_text
         and "heatmap_outputs" in frontend_text,
+        "single_epoch_curve_support": "if points:" in results_service_text
+        and "scaled.length === 1" in frontend_text
+        and "<circle" in frontend_text,
         "agent_api": "/api/agents/evaluate" in backend_text and "/api/agents/validate" in backend_text,
         "agent_panel_ui": "runAgentValidation" in frontend_text and "评价建议" in frontend_text and "Validation Agent" in frontend_text,
         "coverage_api": "/api/coverage" in backend_text and coverage["task_build_passed"],
@@ -143,7 +148,7 @@ def evaluate_project() -> dict:
     if coverage["unmapped_user_scripts"]:
         suggestions.append(f"Map remaining user-facing scripts: {len(coverage['unmapped_user_scripts'])}")
     if not suggestions:
-        suggestions.append("Current platform covers the requested control-plane features, uploaded YOLO dataset train/predict/heatmap actions, live uploaded-data YOLO predict/heatmap acceptance, real workspace data acceptance, real short-train acceptance with artifact links, and synthetic deep training acceptance; next focus is a longer operator-run task on a full dataset.")
+        suggestions.append("Current platform covers the requested control-plane features, uploaded YOLO dataset train/predict/heatmap actions, live uploaded-data YOLO predict/heatmap acceptance, real workspace data acceptance, real short-train acceptance with artifact links and single-epoch curves, and synthetic deep training acceptance; next focus is a longer operator-run task on a full dataset.")
 
     passed_count = sum(1 for item in checks if item["passed"])
     total_count = max(len(checks), 1)

backend/app/capabilities.py

@@ -168,6 +168,7 @@ def get_capability_matrix() -> dict[str, Any]:
     all_tasks = catalog["task_types"]
     buildable_tasks = _coverage_build_task_set(coverage)
     runtime_by_role = _runtime_map(readiness)
+    real_train_curves = [item for item in curves if "real_train_acceptance" in item.get("relative_path", "")]
     domains = []
 
     for group in CAPABILITY_GROUPS:
@@ -271,6 +272,12 @@ def get_capability_matrix() -> dict[str, Any]:
             "passed": len(curves) >= 1,
             "detail": f"{len(curves)} curve file(s)",
         },
+        {
+            "id": "real_train_curve",
+            "label": "真实短训 loss 曲线",
+            "passed": len(real_train_curves) >= 1,
+            "detail": f"{len(real_train_curves)} real train curve file(s)",
+        },
         {
             "id": "deep_acceptance",
             "label": "深度训练验收",
@@ -310,6 +317,7 @@ def get_capability_matrix() -> dict[str, Any]:
             "uploaded_datasets": len(datasets),
             "artifacts": len(results),
             "curves": len(curves),
+            "real_train_curves": len(real_train_curves),
             "weights": manifest.get("count", 0),
             "gpus_available": bool(gpus.get("available")),
             "acceptance_passed": bool(acceptance.get("passed")),

backend/tests/test_agents.py

@@ -11,6 +11,7 @@ def test_evaluation_agent_returns_checks():
     checks = {item["name"]: item["passed"] for item in result["checks"]}
     assert checks["real_workspace_acceptance"] is True
     assert checks["real_train_acceptance"] is True
+    assert checks["single_epoch_curve_support"] is True
 
 
 def test_validation_agent_lightweight(monkeypatch):

backend/tests/test_capabilities.py

@@ -19,5 +19,6 @@ def test_capability_matrix_tracks_user_requirements():
     assert requirements["runtime_readiness"]["passed"] is True
     assert requirements["yolo_heatmap"]["passed"] is True
     assert requirements["training_curves"]["passed"] is True
+    assert requirements["real_train_curve"]["passed"] is True
     assert requirements["real_workspace_acceptance"]["passed"] is True
     assert requirements["real_train_acceptance"]["passed"] is True