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4e340c8368
* Switch from nosetest to pytest Fix schedule tests Collect pytest coverage Move pytest config into pytest.ini Move cov to the pytest.ini * Append coverage for the 2nd run * Add coverage to all commands * Coverage only for tests * Get coverage from 1 place * Rename classes to be pytest compatible * Test coverage for examples and tests * Max diff to -1 * Explain how to run pytest for the whole project * Do not append code coverage for the main run * Do not run coverage on examples Co-authored-by: bogdan kyryliuk <bogdankyryliuk@dropbox.com>
54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# isort:skip_file
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import numpy as np
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import pandas as pd
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import tests.test_app
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from superset.dataframe import df_to_records
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from superset.db_engine_specs import BaseEngineSpec
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from superset.result_set import SupersetResultSet
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from .base_tests import SupersetTestCase
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class TestSupersetDataFrame(SupersetTestCase):
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def test_df_to_records(self):
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data = [("a1", "b1", "c1"), ("a2", "b2", "c2")]
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cursor_descr = (("a", "string"), ("b", "string"), ("c", "string"))
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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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df = results.to_pandas_df()
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self.assertEqual(
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df_to_records(df),
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[{"a": "a1", "b": "b1", "c": "c1"}, {"a": "a2", "b": "b2", "c": "c2"}],
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)
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def test_js_max_int(self):
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data = [(1, 1239162456494753670, "c1"), (2, 100, "c2")]
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cursor_descr = (("a", "int"), ("b", "int"), ("c", "string"))
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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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df = results.to_pandas_df()
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self.assertEqual(
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df_to_records(df),
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[
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{"a": 1, "b": "1239162456494753670", "c": "c1"},
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{"a": 2, "b": 100, "c": "c2"},
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],
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)
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