review comments

deeplake/api/tests/test_mesh.py

@@ -60,4 +60,4 @@ def test_stl_mesh(local_ds, stl_mesh_paths):
 
     tensor_data = tensor.data()
     tensor_0_data = tensor[0].data()
-    assert np.all(tensor_data["value"][0] == tensor_0_data["value"])
+    assert np.all(tensor_data["vertices"][0] == tensor_0_data["vertices"])

deeplake/core/compression.py

@@ -721,7 +721,10 @@ def read_meta_from_compressed_file(
             except Exception as e:
                 raise CorruptedSampleError(compression, path) from e
         elif compression == "stl":
-            shape, typestr = _read_stl_shape_and_dtype(path)
+            try:
+                shape, typestr = _read_stl_shape_and_dtype(file)
+            except Exception as e:
+                raise CorruptedSampleError(compression, path) from e
         else:
             img = Image.open(f) if isfile else Image.open(BytesIO(f))  # type: ignore
             shape, typestr = Image._conv_type_shape(img)

deeplake/util/object_3d/mesh.py

@@ -116,8 +116,21 @@ def parse_mesh_to_dict(full_arr, sample_info):
     first_info = sample_info[0]
 
     if first_info["extension"] == "stl":
+        print("sample_info", sample_info)
+        centroids = (
+            first_info.pop("centroids")
+            if len(sample_info) == 1
+            else [info.pop("centroids") for info in sample_info]
+        )
+        normals = (
+            first_info.pop("normals")
+            if len(sample_info) == 1
+            else [info.pop("normals") for info in sample_info]
+        )
         return {
-            "value": full_arr,
+            "vertices": full_arr,
+            "centroids": centroids,
+            "normals": normals,
             "sample_info": first_info if len(sample_info) == 1 else sample_info,
         }