feat: add RELLIS dataset compatibility smoke

tests/test_dataset_gateway.py

@@ -12,6 +12,7 @@ from fastapi.routing import APIRoute
 from k1link.datasets import (
     DatasetAdmissionError,
     DatasetFrameError,
+    RELLIS_SOURCE_ID,
     dataset_gateway_catalog,
     goose_admission,
     goose_benchmark,
@@ -19,6 +20,7 @@ from k1link.datasets import (
     read_dataset_ground_preview,
     read_dataset_native_scan_preview,
     read_semantic_kitti_frame,
+    rellis_native_scan_preview,
 )
 from k1link.datasets.goose_admission import admit_goose_validation
 from k1link.datasets.goose_benchmark import (
@@ -111,10 +113,14 @@ def test_dataset_gateway_api_is_read_only_and_path_free(
     route = _endpoint(build_lidar_router(), "/api/v1/lidar/dataset-gateway")
     response = route()  # type: ignore[operator]
 
-    assert response["schema_version"] == "missioncore.dataset-gateway-catalog/v2"
+    assert response["schema_version"] == "missioncore.dataset-gateway-catalog/v3"
     assert response["access"] == "read-only"
     assert response["storage"]["admitted"] is True
     assert response["storage"]["path_exposed"] is False
+    assert [source["source_id"] for source in response["sources"]] == [
+        "goose-3d/v2025-08-22",
+        RELLIS_SOURCE_ID,
+    ]
     assert "/mnt/d/NDC_MISSIONCORE/datasets" not in repr(response).replace(
         response["storage"]["required_wsl_root"],  # type: ignore[index]
         "",
@@ -286,6 +292,70 @@ def test_dataset_preview_api_is_read_only_and_integrity_checked(
     assert response["frame_id"] == "frame-1"
 
 
+def test_rellis_smoke_preview_keeps_semantickitti_alignment_and_ignore_policy(
+    tmp_path: Path,
+) -> None:
+    points_path = tmp_path / "000104.bin"
+    labels_path = tmp_path / "000104.label"
+    np.asarray(
+        [
+            [1.0, 0.0, -1.0, 0.1],
+            [2.0, 0.2, -0.8, 0.2],
+            [3.0, -0.2, 0.5, 0.3],
+            [4.0, 0.0, -0.5, 0.4],
+        ],
+        dtype="<f4",
+    ).tofile(points_path)
+    np.asarray([3, 23, 4, 31], dtype="<u4").tofile(labels_path)
+    frame = read_semantic_kitti_frame(points_path, labels_path)
+
+    preview = rellis_native_scan_preview(
+        frame,
+        frame_id="000104",
+        maximum_points=4,
+        source_evidence={
+            "repository_url": "https://github.com/unmannedlab/RELLIS-3D",
+            "repository_commit": "c17a118fcaed1559f03cc32cc3a91dedc557f8b8",
+            "label_config_sha256": (
+                "573379a232ac561805987466c391a61fd5ad338be7fb9c4c2842f3f28067e0ad"
+            ),
+            "point_sha256": (
+                "ed81a9c3636d55b17d78058c72545d5d22419beecf174d50596d23ae178752af"
+            ),
+            "label_sha256": (
+                "9b8c65b710873e931af4ac6dfc7d3dd2298696514ab721e50300bd55ad5b634e"
+            ),
+            "license": "CC-BY-NC-SA-3.0",
+        },
+    )
+    preview_path = tmp_path / "rellis-preview.json"
+    preview_path.write_text(json.dumps(preview), encoding="utf-8")
+
+    decoded = read_dataset_native_scan_preview(preview_path)
+
+    assert decoded["source_id"] == RELLIS_SOURCE_ID
+    assert decoded["ground_truth_ground"] == [1, 1, 0, 0]
+    assert decoded["evaluation_mask"] == [1, 1, 1, 0]
+    assert decoded["coordinate_frame"]["x"] == "forward"
+    assert decoded["safety"]["compatibility_smoke_only"] is True
+
+    router = build_lidar_router(
+        dataset_admission_provider=lambda: None,
+        dataset_preview_provider=lambda: None,
+        dataset_rellis_preview_provider=lambda: preview_path,
+    )
+    route = _endpoint(router, "/api/v1/lidar/dataset-gateway/preview")
+    response = route(source_id=RELLIS_SOURCE_ID)  # type: ignore[operator]
+    assert response["frame_id"] == "000104"
+
+    catalog = dataset_gateway_catalog(
+        Path("/mnt/d/NDC_MISSIONCORE/datasets"),
+        rellis_preview_path=preview_path,
+    )
+    rellis = catalog["sources"][1]  # type: ignore[index]
+    assert rellis["admission"]["status"] == "smoke-ready"  # type: ignore[index]
+
+
 def test_goose_current_ground_is_scored_against_independent_labels(
     tmp_path: Path,
     monkeypatch: pytest.MonkeyPatch,