| # 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. |
| # isort:skip_file |
| import numpy as np |
| import pandas as pd |
| |
| import tests.test_app |
| from superset.dataframe import df_to_records |
| from superset.db_engine_specs import BaseEngineSpec |
| from superset.result_set import SupersetResultSet |
| |
| from .base_tests import SupersetTestCase |
| |
| |
| class TestSupersetDataFrame(SupersetTestCase): |
| def test_df_to_records(self): |
| data = [("a1", "b1", "c1"), ("a2", "b2", "c2")] |
| cursor_descr = (("a", "string"), ("b", "string"), ("c", "string")) |
| results = SupersetResultSet(data, cursor_descr, BaseEngineSpec) |
| df = results.to_pandas_df() |
| |
| self.assertEqual( |
| df_to_records(df), |
| [{"a": "a1", "b": "b1", "c": "c1"}, {"a": "a2", "b": "b2", "c": "c2"}], |
| ) |
| |
| def test_js_max_int(self): |
| data = [(1, 1239162456494753670, "c1"), (2, 100, "c2")] |
| cursor_descr = (("a", "int"), ("b", "int"), ("c", "string")) |
| results = SupersetResultSet(data, cursor_descr, BaseEngineSpec) |
| df = results.to_pandas_df() |
| |
| self.assertEqual( |
| df_to_records(df), |
| [ |
| {"a": 1, "b": "1239162456494753670", "c": "c1"}, |
| {"a": 2, "b": 100, "c": "c2"}, |
| ], |
| ) |