Add dataset QA and custom YOLO training flow

backend/app/agents/evaluation_agent.py

@@ -40,14 +40,17 @@ def evaluate_project() -> dict:
     expectations = {
         "left_nav_dataset": "数据集" in frontend_text and "#datasets" in frontend_text,
         "upload_ui": "uploadDatasetFiles" in frontend_text and "labels" in frontend_text and "masks" in frontend_text,
+        "dataset_quality_ui": "DatasetQuality" in frontend_text and "generateSelectedYoloYaml" in frontend_text,
         "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,
+        "dataset_quality_api": "/api/datasets/{dataset_name}/validate" in backend_text and "/api/datasets/{dataset_name}/yolo-yaml" 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,
         "deep_yolo_heatmap_validation": "yolo_tiny_heatmap_generation" in acceptance_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_custom_train": "yolo.train_custom" in catalog["task_types"],
         "yolo_dataset_tools": "dataset.yolo_txt_sort" in catalog["task_types"] and "dataset.yolo_resize" in catalog["task_types"],
         "no_weight_to_gitea": "Do not push" in readme_text and "check_no_weight_git" in readme_text,
         "all_core_tasks": all(task in catalog["task_types"] for task in REQUIRED_TASKS if REQUIRED_TASKS[task] == "job"),