Add deep training acceptance checks

backend/app/agents/evaluation_agent.py

@@ -42,6 +42,8 @@ def evaluate_project() -> dict:
         "loss_result_ui": "loss" in frontend_text.lower() and "heatmap" in frontend_text.lower() and "CurvePanel" in frontend_text,
         "dataset_api": "/api/datasets" in backend_text and "api_upload_dataset_files" in backend_text,
         "curve_api": "/api/results/curves" in backend_text,
+        "deep_acceptance_api": "/api/acceptance/deep" in backend_text,
+        "deep_acceptance_ui": "runDeepAcceptance" in frontend_text and "深度训练" in frontend_text,
         "coverage_api": "/api/coverage" in backend_text and coverage["task_build_passed"],
         "visual_tools": "visual.yolo11_heatmap_v2" in catalog["task_types"] and "visual.fps" in catalog["task_types"],
         "yolo_dataset_tools": "dataset.yolo_txt_sort" in catalog["task_types"] and "dataset.yolo_resize" in catalog["task_types"],

backend/app/agents/validation_agent.py

@@ -8,7 +8,7 @@ import urllib.error
 import urllib.request
 from pathlib import Path
 
-from ..acceptance import run_live_acceptance
+from ..acceptance import run_deep_acceptance, run_live_acceptance
 from ..catalog import get_catalog
 from ..config import settings
 from ..coverage import get_coverage_report
@@ -108,6 +108,9 @@ def validate_project(run_build: bool = False) -> dict:
         if os.getenv("SEG_VALIDATE_ACCEPTANCE", "1") == "1":
             acceptance = run_live_acceptance(backend_url)
             checks.append({"name": "live_acceptance_smoke", "passed": acceptance["passed"], "detail": acceptance})
+        if os.getenv("SEG_VALIDATE_DEEP", "1") == "1":
+            deep_acceptance = run_deep_acceptance()
+            checks.append({"name": "deep_training_acceptance", "passed": deep_acceptance["passed"], "detail": deep_acceptance})
 
     if run_build:
         tests = _run(["conda", "run", "-n", settings.backend_conda_env, "python", "-m", "pytest", "-q"], cwd=settings.project_root, timeout=120)