fix(sqllab/charts): casting from timestamp[us] to timestamp[ns] would…

… result in out of bounds timestamp (#18873)

* fix casting from timestamp[us] to timestamp[ns] would result in out of bounds timestamp from sqllab and charts

* Add unittests

* Lint changes and parameter variable rename

* Fix linting

superset/result_set.py

@@ -174,7 +174,10 @@ def convert_pa_dtype(pa_dtype: pa.DataType) -> Optional[str]:
 
     @staticmethod
     def convert_table_to_df(table: pa.Table) -> pd.DataFrame:
-        return table.to_pandas(integer_object_nulls=True)
+        try:
+            return table.to_pandas(integer_object_nulls=True)
+        except pa.lib.ArrowInvalid:
+            return table.to_pandas(integer_object_nulls=True, timestamp_as_object=True)
 
     @staticmethod
     def first_nonempty(items: List[Any]) -> Any:

superset/utils/core.py

@@ -1746,14 +1746,14 @@ def normalize_dttm_col(
             # Column is formatted as a numeric value
             unit = timestamp_format.replace("epoch_", "")
             df[DTTM_ALIAS] = pd.to_datetime(
-                dttm_col, utc=False, unit=unit, origin="unix"
+                dttm_col, utc=False, unit=unit, origin="unix", errors="coerce"
             )
         else:
             # Column has already been formatted as a timestamp.
             df[DTTM_ALIAS] = dttm_col.apply(pd.Timestamp)
     else:
         df[DTTM_ALIAS] = pd.to_datetime(
-            df[DTTM_ALIAS], utc=False, format=timestamp_format
+            df[DTTM_ALIAS], utc=False, format=timestamp_format, errors="coerce"
         )
     if offset:
         df[DTTM_ALIAS] += timedelta(hours=offset)

tests/integration_tests/utils_tests.py

@@ -1093,3 +1093,8 @@ def normalize_col(
         # test numeric epoch_ms format
         df = pd.DataFrame([{"__timestamp": ts.timestamp() * 1000, "a": 1}])
         assert normalize_col(df, "epoch_ms", 0, None)[DTTM_ALIAS][0] == ts
+
+        # test that out of bounds timestamps are coerced to None instead of
+        # erroring out
+        df = pd.DataFrame([{"__timestamp": "1677-09-21 00:00:00", "a": 1}])
+        assert pd.isnull(normalize_col(df, None, 0, None)[DTTM_ALIAS][0])

tests/unit_tests/dataframe_test.py

@@ -15,6 +15,11 @@
 # specific language governing permissions and limitations
 # under the License.
 # pylint: disable=unused-argument, import-outside-toplevel
+from datetime import datetime
+
+import pytest
+from pandas import Timestamp
+
 from superset.dataframe import df_to_records
 from superset.superset_typing import DbapiDescription
 
@@ -53,3 +58,50 @@ def test_js_max_int(app_context: None) -> None:
         {"a": 1, "b": "1239162456494753670", "c": "c1"},
         {"a": 2, "b": 100, "c": "c2"},
     ]
+
+
+@pytest.mark.parametrize(
+    "input_, expected",
+    [
+        pytest.param(
+            [
+                (datetime.strptime("1677-09-22 00:12:43", "%Y-%m-%d %H:%M:%S"), 1),
+                (datetime.strptime("2262-04-11 23:47:17", "%Y-%m-%d %H:%M:%S"), 2),
+            ],
+            [
+                {
+                    "a": datetime.strptime("1677-09-22 00:12:43", "%Y-%m-%d %H:%M:%S"),
+                    "b": 1,
+                },
+                {
+                    "a": datetime.strptime("2262-04-11 23:47:17", "%Y-%m-%d %H:%M:%S"),
+                    "b": 2,
+                },
+            ],
+            id="timestamp conversion fail",
+        ),
+        pytest.param(
+            [
+                (datetime.strptime("1677-09-22 00:12:44", "%Y-%m-%d %H:%M:%S"), 1),
+                (datetime.strptime("2262-04-11 23:47:16", "%Y-%m-%d %H:%M:%S"), 2),
+            ],
+            [
+                {"a": Timestamp("1677-09-22 00:12:44"), "b": 1},
+                {"a": Timestamp("2262-04-11 23:47:16"), "b": 2},
+            ],
+            id="timestamp conversion success",
+        ),
+    ],
+)
+def test_max_pandas_timestamp(input_, expected) -> None:
+    from superset.db_engine_specs import BaseEngineSpec
+    from superset.result_set import SupersetResultSet
+
+    cursor_descr: DbapiDescription = [
+        ("a", "datetime", None, None, None, None, False),
+        ("b", "int", None, None, None, None, False),
+    ]
+    results = SupersetResultSet(input_, cursor_descr, BaseEngineSpec)
+    df = results.to_pandas_df()
+
+    assert df_to_records(df) == expected