Initial public release

backend/tests/test_sprint103_ai_lab_run_readiness.py

@@ -0,0 +1,48 @@
+from __future__ import annotations
+
+from pathlib import Path
+from tests.frontend_contract import read_feature
+
+
+ROOT = Path(__file__).resolve().parents[2]
+
+
+def test_detection_lab_exposes_run_readiness_contract() -> None:
+    lab = read_feature("detection")
+
+    assert "selectedDetectionModel = detectionModels.find" in lab
+    assert "detectionRequiresTileManifest = selectedDetectionModelId === 'yolo-configured'" in lab
+    assert "detectionTileManifestPath.trim().length > 0" in lab
+    assert "detectionRunReady" in lab
+    assert 'aria-label="Startklaar voor gebouwdetectie"' in lab
+    assert "Wat is nog nodig?" in lab
+    assert "Luchtbeeld" in lab
+    assert "Analysemodel" in lab
+    assert "Beeldtegels" in lab
+    assert "Klaar om te starten" in lab
+
+
+def test_segmentation_lab_exposes_run_readiness_contract() -> None:
+    lab = read_feature("segmentation")
+
+    assert "segmentationHasDataset" in lab
+    assert "segmentationHasTileManifest = segmentationTileManifestPath.trim().length > 0" in lab
+    assert "segmentationRunReady" in lab
+    assert "selectedSegmentationModelConfigured" in lab
+    assert "selectedSegmentationModelLimitation" in lab
+    assert 'aria-label="Startklaar voor segmentatie"' in lab
+    assert "Wat is nog nodig?" in lab
+    assert "Rasterbestand" in lab
+    assert "Analysemodel" in lab
+    assert "Beeldtegels" in lab
+    assert "Klaar om te starten" in lab
+
+
+def test_ai_lab_run_readiness_css_contract() -> None:
+    css = (ROOT / "frontend" / "src" / "styles" / "app.css").read_text(encoding="utf-8")
+
+    assert ".lab-readiness-panel" in css
+    assert ".lab-readiness-panel-ready" in css
+    assert ".lab-readiness-grid" in css
+    assert ".lab-readiness-item" in css
+    assert ".lab-readiness-item-ready" in css