mirror of https://github.com/apache/superset.git
155 lines
4.7 KiB
Python
155 lines
4.7 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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import numpy as np
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from superset.dataframe import dedup, SupersetDataFrame
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from superset.db_engine_specs import BaseEngineSpec
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from .base_tests import SupersetTestCase
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class SupersetDataFrameTestCase(SupersetTestCase):
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def test_dedup(self):
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self.assertEquals(
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dedup(['foo', 'bar']),
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['foo', 'bar'],
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)
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self.assertEquals(
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dedup(['foo', 'bar', 'foo', 'bar', 'Foo']),
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['foo', 'bar', 'foo__1', 'bar__1', 'Foo'],
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)
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self.assertEquals(
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dedup(['foo', 'bar', 'bar', 'bar', 'Bar']),
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['foo', 'bar', 'bar__1', 'bar__2', 'Bar'],
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)
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self.assertEquals(
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dedup(['foo', 'bar', 'bar', 'bar', 'Bar'], case_sensitive=False),
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['foo', 'bar', 'bar__1', 'bar__2', 'Bar__3'],
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)
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def test_get_columns_basic(self):
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data = [
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('a1', 'b1', 'c1'),
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('a2', 'b2', 'c2'),
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]
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cursor_descr = (
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('a', 'string'),
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('b', 'string'),
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('c', 'string'),
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)
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cdf = SupersetDataFrame(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(
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cdf.columns,
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[
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{
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'is_date': False,
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'type': 'STRING',
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'name': 'a',
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'is_dim': True,
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}, {
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'is_date': False,
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'type': 'STRING',
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'name': 'b',
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'is_dim': True,
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}, {
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'is_date': False,
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'type': 'STRING',
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'name': 'c',
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'is_dim': True,
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},
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],
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)
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def test_get_columns_with_int(self):
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data = [
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('a1', 1),
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('a2', 2),
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]
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cursor_descr = (
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('a', 'string'),
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('b', 'int'),
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)
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cdf = SupersetDataFrame(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(
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cdf.columns,
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[
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{
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'is_date': False,
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'type': 'STRING',
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'name': 'a',
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'is_dim': True,
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}, {
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'is_date': False,
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'type': 'INT',
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'name': 'b',
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'is_dim': False,
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'agg': 'sum',
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},
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],
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)
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def test_get_columns_type_inference(self):
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data = [
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(1.2, 1),
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(3.14, 2),
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]
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cursor_descr = (
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('a', None),
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('b', None),
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)
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cdf = SupersetDataFrame(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(
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cdf.columns,
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[
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{
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'is_date': False,
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'type': 'FLOAT',
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'name': 'a',
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'is_dim': False,
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'agg': 'sum',
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}, {
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'is_date': False,
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'type': 'INT',
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'name': 'b',
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'is_dim': False,
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'agg': 'sum',
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},
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],
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)
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def test_is_date(self):
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f = SupersetDataFrame.is_date
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self.assertEquals(f(np.dtype('M'), ''), True)
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self.assertEquals(f(np.dtype('f'), 'DATETIME'), True)
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self.assertEquals(f(np.dtype('i'), 'TIMESTAMP'), True)
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self.assertEquals(f(None, 'DATETIME'), True)
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self.assertEquals(f(None, 'TIMESTAMP'), True)
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self.assertEquals(f(None, ''), False)
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self.assertEquals(f(np.dtype(np.int32), ''), False)
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def test_dedup_with_data(self):
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data = [
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('a', 1),
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('a', 2),
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]
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cursor_descr = (
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('a', 'string'),
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('a', 'string'),
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)
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cdf = SupersetDataFrame(data, cursor_descr, BaseEngineSpec)
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self.assertListEqual(cdf.column_names, ['a', 'a__1'])
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