handle ndim>2 in maker utils

src/roman_datamodels/maker_utils/_datamodels.py

@@ -450,8 +450,6 @@ def mk_source_catalog(*, filepath=None, **kwargs):
     source_catalog = stnode.SourceCatalog()
 
     source_catalog["source_catalog"] = kwargs.get("source_catalog", Table([range(3), range(3)], names=["a", "b"]))
-    source_catalog["meta"] = mk_common_meta()
-    source_catalog["meta"].update(kwargs.get("meta", dict(segmentation_map='')))
 
     return save_node(source_catalog, filepath=filepath)
 
@@ -470,11 +468,17 @@ def mk_segmentation_map(*, filepath=None, shape=(4096, 4096), **kwargs):
     -------
     roman_datamodels.stnode.SegmentationMap
     """
-    segmentation_map = stnode.SegmentationMap()
+    if len(shape) > 2:
+        shape = shape[1:3]
+
+        warnings.warn(
+            f"{MESSAGE} assuming the first entry is n_groups followed by y, x. The remaining is thrown out!", UserWarning
+        )
 
+    segmentation_map = stnode.SegmentationMap()
     segmentation_map["data"] = kwargs.get("data", np.zeros(shape, dtype=np.uint32))
     segmentation_map["meta"] = mk_common_meta()
-    segmentation_map["meta"].update(kwargs.get("meta", dict(filename='')))
+    segmentation_map["meta"].update(kwargs.get("meta", {}))
 
     return save_node(segmentation_map, filepath=filepath)
 

tests/test_models.py

@@ -715,6 +715,13 @@ def test_make_source_catalog():
     assert isinstance(source_catalog_model.source_catalog, Table)
 
 
+def test_make_segmentation_map():
+    segmentation_map = utils.mk_segmentation_map()
+    segmentation_map_model = datamodels.SegmentationMapModel(segmentation_map)
+
+    assert isinstance(segmentation_map_model.data, np.ndarray)
+
+
 def test_datamodel_info_search(capsys):
     wfi_science_raw = utils.mk_level1_science_raw(shape=(2, 8, 8))
     af = asdf.AsdfFile()

tests/test_open.py

@@ -226,9 +226,6 @@ def test_node_round_trip(tmp_path, node_class):
 @pytest.mark.filterwarnings("ignore:This function assumes shape is 2D")
 @pytest.mark.filterwarnings("ignore:Input shape must be 5D")
 def test_opening_model(tmp_path, node_class):
-    if node_class == stnode.SourceCatalog:
-        pytest.xfail("SourceCatalog does not have a meta attribute yet")
-
     file_path = tmp_path / "test.asdf"
 
     # Create a node and write it to disk