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Validate uploaded YOLO custom workflow

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admin
2026-06-30 15:17:50 +08:00
parent 777f168a75
commit 826027629b
3 changed files with 77 additions and 5 deletions
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3
backend/app/agents/evaluation_agent.py
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@@ -59,6 +59,7 @@ def evaluate_project() -> dict:
"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,
"uploaded_yolo_workflow_acceptance": "uploaded_yolo_predict_job_runner" in acceptance_text and "uploaded_yolo_heatmap_job_runner" in acceptance_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"],
@@ -83,7 +84,7 @@ 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, and synthetic deep training/heatmap acceptance; next focus is running a real user-supplied dataset through the full workflow.")
suggestions.append("Current platform covers the requested control-plane features, uploaded YOLO dataset train/predict/heatmap actions, live uploaded-data YOLO predict/heatmap acceptance, and synthetic deep training acceptance; next focus is a real non-synthetic dataset run.")
score = sum(1 for item in checks if item["passed"]) / max(len(checks), 1)
return {