refactor: decouple pandas postprocessing operator (#18710)

superset/utils/pandas_postprocessing/sort.py

@@ -0,0 +1,35 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from typing import Dict
+
+from pandas import DataFrame
+
+from superset.utils.pandas_postprocessing.utils import validate_column_args
+
+
+@validate_column_args("columns")
+def sort(df: DataFrame, columns: Dict[str, bool]) -> DataFrame:
+    """
+    Sort a DataFrame.
+
+    :param df: DataFrame to sort.
+    :param columns: columns by by which to sort. The key specifies the column name,
+           value specifies if sorting in ascending order.
+    :return: Sorted DataFrame
+    :raises QueryObjectValidationError: If the request in incorrect
+    """
+    return df.sort_values(by=list(columns.keys()), ascending=list(columns.values()))