Harden detection model asset selection

backend/tests/test_sprint122_model_asset_activation_guardrails.py

@@ -0,0 +1,37 @@
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[2]
+
+
+def test_detection_workflow_does_not_auto_select_runtime_model_assets() -> None:
+    hook = (ROOT / "frontend" / "src" / "hooks" / "useDetectionWorkflow.ts").read_text(encoding="utf-8")
+
+    assert "const activeAsset = assetResponse.items.find" not in hook
+    assert "setSelectedModelAssetId(activeAsset?.model_asset_id ?? '')" not in hook
+    assert "setSelectedModelAssetId(assetResponse.items[0]" not in hook
+    assert "setSelectedModelAssetId('')" in hook
+
+
+def test_detection_lab_explains_explicit_model_asset_and_threshold_selection() -> None:
+    lab = (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx").read_text(
+        encoding="utf-8"
+    )
+
+    assert "Explicit model asset" in lab
+    assert "No model file is selected automatically" in lab
+    assert "Current benchmark candidate" in lab
+    assert "geointel-building-yolov8s-hardneg160r4e50-pt" in lab
+    assert "Recommended starting threshold" in lab
+    assert "0.25" in lab
+    assert "will_download_models" in lab
+
+
+def test_detection_run_readiness_requires_explicit_asset_when_local_assets_exist() -> None:
+    lab = (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx").read_text(
+        encoding="utf-8"
+    )
+
+    assert "detectionHasExplicitModelAsset" in lab
+    assert "Select a local model asset deliberately" in lab
+    assert "local model asset" in lab