Improve useful default workbench context

backend/tests/test_sprint96_useful_default_context.py

@@ -0,0 +1,30 @@
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[2]
+
+
+def test_dataset_workflow_selects_useful_default_dataset_after_project_load() -> None:
+    hook = (ROOT / "frontend" / "src" / "hooks" / "useDatasetWorkflow.ts").read_text(encoding="utf-8")
+
+    assert "defaultDataset" in hook
+    assert "!selectedDatasetId" in hook
+    assert "isVectorDatasetType(dataset.dataset_type)" in hook
+    assert "loadDatasetDetails(selectedProjectId, defaultDataset)" in hook
+    assert "Auto-open the first usable dataset" in hook
+
+
+def test_ai_labs_explain_missing_raster_input_before_disabled_runs() -> None:
+    detection_lab = (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx").read_text(
+        encoding="utf-8"
+    )
+    segmentation_lab = (ROOT / "frontend" / "src" / "components" / "segmentation" / "SegmentationLab.tsx").read_text(
+        encoding="utf-8"
+    )
+
+    assert "No raster datasets available for detection." in detection_lab
+    assert "Upload or select a raster dataset in Data before running object detection." in detection_lab
+    assert "rasterDatasets.length === 0" in detection_lab
+    assert "No raster datasets available for segmentation." in segmentation_lab
+    assert "Upload or select a raster dataset in Data before running segmentation." in segmentation_lab
+    assert "rasterDatasets.length === 0" in segmentation_lab