fix: edit pyarrow stringify to better handle emojis and accents

superset/result_set.py

@@ -72,7 +72,12 @@ def stringify_values(array: NDArray[Any]) -> NDArray[Any]:
                 # pandas <NA> type cannot be converted to string
                 obj[na_obj] = None  # type: ignore
             else:
-                obj[...] = stringify(obj)  # type: ignore
+                try:
+                    # for simple string conversions
+                    # this handles odd character types better
+                    obj[...] = obj.astype(str)  # type: ignore
+                except ValueError:
+                    obj[...] = stringify(obj)  # type: ignore
 
     return result
 

superset/utils/pandas_postprocessing/boxplot.py

@@ -57,10 +57,10 @@ def boxplot(
     """
 
     def quartile1(series: Series) -> float:
-        return np.nanpercentile(series, 25, interpolation="midpoint")  # type: ignore
+        return np.nanpercentile(series, 25, method="midpoint")
 
     def quartile3(series: Series) -> float:
-        return np.nanpercentile(series, 75, interpolation="midpoint")  # type: ignore
+        return np.nanpercentile(series, 75, method="midpoint")
 
     if whisker_type == PostProcessingBoxplotWhiskerType.TUKEY:
 

tests/integration_tests/result_set_tests.py

@@ -169,13 +169,13 @@ def test_nested_types(self):
                     "id": 4,
                     "dict_arr": '[{"table_name": "unicode_test", "database_id": 1}]',
                     "num_arr": "[1, 2, 3]",
-                    "map_col": '{"chart_name": "scatter"}',
+                    "map_col": "{'chart_name': 'scatter'}",
                 },
                 {
                     "id": 3,
                     "dict_arr": '[{"table_name": "birth_names", "database_id": 1}]',
                     "num_arr": "[4, 5, 6]",
-                    "map_col": '{"chart_name": "plot"}',
+                    "map_col": "{'chart_name': 'plot'}",
                 },
             ],
         )

tests/unit_tests/dataframe_test.py

@@ -55,7 +55,87 @@ def test_df_to_records_NaT_type() -> None:
 
     assert df_to_records(df) == [
         {"date": None},
-        {"date": '"2023-01-06T20:50:31.749000+00:00"'},
+        {"date": "2023-01-06 20:50:31.749000+00:00"},
+    ]
+
+
+def test_df_to_records_mixed_emoji_type() -> None:
+    from superset.db_engine_specs import BaseEngineSpec
+    from superset.result_set import SupersetResultSet
+
+    data = [
+        ("What's up?", "This is a string text", 1),
+        ("What's up?", "This is a string with an 😍 added", 2),
+        ("What's up?", NaT, 3),
+        ("What's up?", "Last emoji 😁", 4),
+    ]
+
+    cursor_descr: DbapiDescription = [
+        ("question", "varchar", None, None, None, None, False),
+        ("response", "varchar", None, None, None, None, False),
+        ("count", "integer", None, None, None, None, False),
+    ]
+
+    results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
+    df = results.to_pandas_df()
+
+    assert df_to_records(df) == [
+        {"question": "What's up?", "response": "This is a string text", "count": 1},
+        {
+            "question": "What's up?",
+            "response": "This is a string with an 😍 added",
+            "count": 2,
+        },
+        {
+            "question": "What's up?",
+            "response": None,
+            "count": 3,
+        },
+        {
+            "question": "What's up?",
+            "response": "Last emoji 😁",
+            "count": 4,
+        },
+    ]
+
+
+def test_df_to_records_mixed_accent_type() -> None:
+    from superset.db_engine_specs import BaseEngineSpec
+    from superset.result_set import SupersetResultSet
+
+    data = [
+        ("What's up?", "This is a string text", 1),
+        ("What's up?", "This is a string with áccent", 2),
+        ("What's up?", NaT, 3),
+        ("What's up?", "móre áccent", 4),
+    ]
+
+    cursor_descr: DbapiDescription = [
+        ("question", "varchar", None, None, None, None, False),
+        ("response", "varchar", None, None, None, None, False),
+        ("count", "integer", None, None, None, None, False),
+    ]
+
+    results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
+    df = results.to_pandas_df()
+
+    assert df_to_records(df) == [
+        {"question": "What's up?", "response": "This is a string text", "count": 1},
+        {
+            "question": "What's up?",
+            "response": "This is a string with áccent",
+            "count": 2,
+        },
+        {
+            "question": "What's up?",
+            "response": None,
+            "count": 3,
+        },
+        {
+            "question": "What's up?",
+            "response": "móre áccent",
+            "count": 4,
+        },
     ]
 
 

tests/unit_tests/result_set_test.py

@@ -98,10 +98,10 @@ def test_stringify_with_null_integers():
 
     expected = np.array(
         [
-            array(['"foo"', '"foo"', '"foo"'], dtype=object),
-            array(['"bar"', '"bar"', '"bar"'], dtype=object),
+            array(["foo", "foo", "foo"], dtype=object),
+            array(["bar", "bar", "bar"], dtype=object),
             array([None, None, None], dtype=object),
-            array([None, "true", None], dtype=object),
+            array([None, "True", None], dtype=object),
         ]
     )
 
@@ -132,10 +132,10 @@ def test_stringify_with_null_timestamps():
 
     expected = np.array(
         [
-            array(['"foo"', '"foo"', '"foo"'], dtype=object),
-            array(['"bar"', '"bar"', '"bar"'], dtype=object),
+            array(["foo", "foo", "foo"], dtype=object),
+            array(["bar", "bar", "bar"], dtype=object),
             array([None, None, None], dtype=object),
-            array([None, "true", None], dtype=object),
+            array([None, "True", None], dtype=object),
         ]
     )