feat(viz-plugins): add date formatting to pivot-table (#10637)

* feat: make pivot table dates formattable

* Bump npm packages

superset-frontend/package.json

@@ -80,7 +80,7 @@
     "@superset-ui/legacy-plugin-chart-paired-t-test": "^0.14.9",
     "@superset-ui/legacy-plugin-chart-parallel-coordinates": "^0.14.9",
     "@superset-ui/legacy-plugin-chart-partition": "^0.14.9",
-    "@superset-ui/legacy-plugin-chart-pivot-table": "^0.14.14",
+    "@superset-ui/legacy-plugin-chart-pivot-table": "^0.14.21",
     "@superset-ui/legacy-plugin-chart-rose": "^0.14.14",
     "@superset-ui/legacy-plugin-chart-sankey": "^0.14.9",
     "@superset-ui/legacy-plugin-chart-sankey-loop": "^0.14.9",
@@ -89,7 +89,7 @@
     "@superset-ui/legacy-plugin-chart-world-map": "^0.14.16",
     "@superset-ui/legacy-preset-chart-big-number": "^0.14.9",
     "@superset-ui/legacy-preset-chart-deckgl": "^0.2.4",
-    "@superset-ui/legacy-preset-chart-nvd3": "^0.14.17",
+    "@superset-ui/legacy-preset-chart-nvd3": "^0.14.21",
     "@superset-ui/number-format": "^0.14.9",
     "@superset-ui/plugin-chart-table": "^0.14.16",
     "@superset-ui/plugin-chart-word-cloud": "^0.14.9",

superset/viz.py

@@ -72,6 +72,7 @@
     QueryMode,
     to_adhoc,
 )
+from superset.utils.dates import datetime_to_epoch
 from superset.utils.hashing import md5_sha_from_str
 
 if TYPE_CHECKING:
@@ -825,8 +826,20 @@ def get_data(self, df: pd.DataFrame) -> VizData:
         for metric in metrics:
             aggfuncs[metric] = self.get_aggfunc(metric, df, self.form_data)
 
-        groupby = self.form_data.get("groupby")
-        columns = self.form_data.get("columns")
+        groupby = self.form_data.get("groupby") or []
+        columns = self.form_data.get("columns") or []
+
+        def _format_datetime(value: Any) -> Optional[str]:
+            if isinstance(value, str):
+                return f"__timestamp:{datetime_to_epoch(pd.Timestamp(value))}"
+            return None
+
+        for column_name in groupby + columns:
+            column = self.datasource.get_column(column_name)
+            if column and column.type in ("DATE", "DATETIME", "TIMESTAMP"):
+                ts = df[column_name].apply(_format_datetime)
+                df[column_name] = ts
+
         if self.form_data.get("transpose_pivot"):
             groupby, columns = columns, groupby