Fix repr and concat of StructColumn (#10042)

Fixes: #8963 

This PR fixes a trivial issue in `concat` where the assumption was that `_with_type_metadata` is an in-place operation, but it isn't.

Authors:
  - GALI PREM SAGAR (https://github.com/galipremsagar)
  - Bradley Dice (https://github.com/bdice)

Approvers:
  - Vyas Ramasubramani (https://github.com/vyasr)
  - Bradley Dice (https://github.com/bdice)

URL: #10042

python/cudf/cudf/core/dataframe.py

@@ -1548,10 +1548,18 @@ def _concat(
                     cudf.core.index.as_index(out.index._values)
                 )
 
-        # Reassign precision for any decimal cols
+        # Reassign precision for decimal cols & type schema for struct cols
         for name, col in out._data.items():
-            if isinstance(col, cudf.core.column.Decimal64Column):
-                col = col._with_type_metadata(tables[0]._data[name].dtype)
+            if isinstance(
+                col,
+                (
+                    cudf.core.column.Decimal64Column,
+                    cudf.core.column.StructColumn,
+                ),
+            ):
+                out._data[name] = col._with_type_metadata(
+                    tables[0]._data[name].dtype
+                )
 
         # Reassign index and column names
         if isinstance(objs[0].columns, pd.MultiIndex):

python/cudf/cudf/core/series.py

@@ -1448,10 +1448,11 @@ def _concat(cls, objs, axis=0, index=True):
 
         col = concat_columns([o._column for o in objs])
 
-        if isinstance(col, cudf.core.column.Decimal64Column):
-            col = col._with_type_metadata(objs[0]._column.dtype)
-
-        if isinstance(col, cudf.core.column.StructColumn):
+        # Reassign precision for decimal cols & type schema for struct cols
+        if isinstance(
+            col,
+            (cudf.core.column.Decimal64Column, cudf.core.column.StructColumn),
+        ):
             col = col._with_type_metadata(objs[0].dtype)
 
         return cls(data=col, index=index, name=name)

python/cudf/cudf/tests/test_repr.py

@@ -1475,3 +1475,33 @@ def test_empty_series_name():
     gs = cudf.from_pandas(ps)
 
     assert ps.__repr__() == gs.__repr__()
+
+
+def test_repr_struct_after_concat():
+    df = cudf.DataFrame(
+        {
+            "a": cudf.Series(
+                [
+                    {"sa": 2056831253},
+                    {"sa": -1463792165},
+                    {"sa": 1735783038},
+                    {"sa": 103774433},
+                    {"sa": -1413247520},
+                ]
+                * 13
+            ),
+            "b": cudf.Series(
+                [
+                    {"sa": {"ssa": 1140062029}},
+                    None,
+                    {"sa": {"ssa": 1998862860}},
+                    {"sa": None},
+                    {"sa": {"ssa": -395088502}},
+                ]
+                * 13
+            ),
+        }
+    )
+    pdf = df.to_pandas()
+
+    assert df.__repr__() == pdf.__repr__()