Expose real train artifacts in dashboard
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@@ -114,6 +114,11 @@ def evaluate_project() -> dict:
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and "real_train_yolo_one_epoch_job_runner" in acceptance_text
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and "real_train_trained_weight_predict_job_runner" in acceptance_text
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and "real_train_trained_weight_heatmap_job_runner" in acceptance_text,
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"real_train_artifact_links_ui": "AcceptanceArtifactLinks" in frontend_text
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and "acceptanceArtifacts" in frontend_text
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and "best_weight" in frontend_text
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and "results_csv" in frontend_text
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and "heatmap_outputs" in frontend_text,
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"agent_api": "/api/agents/evaluate" in backend_text and "/api/agents/validate" in backend_text,
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"agent_panel_ui": "runAgentValidation" in frontend_text and "评价建议" in frontend_text and "Validation Agent" in frontend_text,
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"coverage_api": "/api/coverage" in backend_text and coverage["task_build_passed"],
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@@ -138,7 +143,7 @@ def evaluate_project() -> dict:
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if coverage["unmapped_user_scripts"]:
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suggestions.append(f"Map remaining user-facing scripts: {len(coverage['unmapped_user_scripts'])}")
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if not suggestions:
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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, and synthetic deep training acceptance; next focus is a longer operator-run task on a full dataset.")
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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.")
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passed_count = sum(1 for item in checks if item["passed"])
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total_count = max(len(checks), 1)
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