mirror of https://github.com/apache/superset.git
111 lines
4.1 KiB
Python
111 lines
4.1 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(dedup(["foo", "bar"]), ["foo", "bar"])
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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 = [("a1", "b1", "c1"), ("a2", "b2", "c2")]
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cursor_descr = (("a", "string"), ("b", "string"), ("c", "string"))
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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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{"is_date": False, "type": "STRING", "name": "a", "is_dim": True},
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{"is_date": False, "type": "STRING", "name": "b", "is_dim": True},
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{"is_date": False, "type": "STRING", "name": "c", "is_dim": True},
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],
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)
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def test_get_columns_with_int(self):
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data = [("a1", 1), ("a2", 2)]
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cursor_descr = (("a", "string"), ("b", "int"))
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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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{"is_date": False, "type": "STRING", "name": "a", "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 = [(1.2, 1), (3.14, 2)]
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cursor_descr = (("a", None), ("b", None))
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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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{
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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 = [("a", 1), ("a", 2)]
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cursor_descr = (("a", "string"), ("a", "string"))
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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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