# 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. # 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 def test_df_to_records(app_context: None) -> None: from superset.db_engine_specs import BaseEngineSpec from superset.result_set import SupersetResultSet data = [("a1", "b1", "c1"), ("a2", "b2", "c2")] cursor_descr: DbapiDescription = [ (column, "string", None, None, None, None, False) for column in ("a", "b", "c") ] results = SupersetResultSet(data, cursor_descr, BaseEngineSpec) df = results.to_pandas_df() assert df_to_records(df) == [ {"a": "a1", "b": "b1", "c": "c1"}, {"a": "a2", "b": "b2", "c": "c2"}, ] def test_js_max_int(app_context: None) -> None: from superset.db_engine_specs import BaseEngineSpec from superset.result_set import SupersetResultSet data = [(1, 1239162456494753670, "c1"), (2, 100, "c2")] cursor_descr: DbapiDescription = [ ("a", "int", None, None, None, None, False), ("b", "int", None, None, None, None, False), ("c", "string", None, None, None, None, False), ] results = SupersetResultSet(data, cursor_descr, BaseEngineSpec) df = results.to_pandas_df() assert df_to_records(df) == [ {"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