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https://github.com/apache/superset.git
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6537d5ed8c
* Use PyArrow Table for query result serialization * Cleanup dev comments * Additional cleanup * WIP: tests * Remove explicit dtype logic from db_engine_specs * Remove obsolete column property * SupersetTable column types * Port SupersetDataFrame methods to SupersetTable * Add test for nullable boolean columns * Support datetime values with timezone offsets * Black formatting * Pylint * More linting/formatting * Resolve issue with timezones not appearing in results * Types * Enable running of tests in tests/db_engine_specs * Resolve application context errors * Refactor and add tests for pyodbc.Row conversion * Appease isort, regardless of isort:skip * Re-enable RESULTS_BACKEND_USE_MSGPACK default based on benchmarks * Dataframe typing and nits * Renames to reduce ambiguity
151 lines
6.0 KiB
Python
151 lines
6.0 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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from datetime import datetime
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import numpy as np
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import pandas as pd
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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 dedup, SupersetResultSet
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from .base_tests import SupersetTestCase
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class SupersetResultSetTestCase(SupersetTestCase):
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def test_dedup(self):
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self.assertEqual(dedup(["foo", "bar"]), ["foo", "bar"])
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self.assertEqual(
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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.assertEqual(
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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.assertEqual(
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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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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(
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results.columns,
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[
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{"is_date": False, "type": "STRING", "name": "a"},
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{"is_date": False, "type": "STRING", "name": "b"},
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{"is_date": False, "type": "STRING", "name": "c"},
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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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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(
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results.columns,
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[
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{"is_date": False, "type": "STRING", "name": "a"},
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{"is_date": False, "type": "INT", "name": "b"},
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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, "foo", datetime(2018, 10, 19, 23, 39, 16, 660000), True),
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(3.14, 2, "bar", datetime(2019, 10, 19, 23, 39, 16, 660000), False),
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]
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cursor_descr = (("a", None), ("b", None), ("c", None), ("d", None), ("e", None))
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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(
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results.columns,
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[
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{"is_date": False, "type": "FLOAT", "name": "a"},
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{"is_date": False, "type": "INT", "name": "b"},
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{"is_date": False, "type": "STRING", "name": "c"},
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{"is_date": True, "type": "DATETIME", "name": "d"},
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{"is_date": False, "type": "BOOL", "name": "e"},
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],
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)
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def test_is_date(self):
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is_date = SupersetResultSet.is_date
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self.assertEqual(is_date("DATETIME"), True)
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self.assertEqual(is_date("TIMESTAMP"), True)
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self.assertEqual(is_date("STRING"), False)
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self.assertEqual(is_date(""), False)
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self.assertEqual(is_date(None), 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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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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column_names = [col["name"] for col in results.columns]
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self.assertListEqual(column_names, ["a", "a__1"])
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def test_int64_with_missing_data(self):
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data = [(None,), (1239162456494753670,), (None,), (None,), (None,), (None,)]
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cursor_descr = [("user_id", "bigint", None, None, None, None, True)]
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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(results.columns[0]["type"], "BIGINT")
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def test_nullable_bool(self):
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data = [(None,), (True,), (None,), (None,), (None,), (None,)]
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cursor_descr = [("is_test", "bool", None, None, None, None, True)]
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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(results.columns[0]["type"], "BOOL")
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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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{"is_test": None},
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{"is_test": True},
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{"is_test": None},
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{"is_test": None},
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{"is_test": None},
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{"is_test": None},
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],
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)
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def test_empty_datetime(self):
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data = [(None,)]
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cursor_descr = [("ds", "timestamp", None, None, None, None, True)]
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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(results.columns[0]["type"], "TIMESTAMP")
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def test_no_type_coercion(self):
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data = [("a", 1), ("b", 2)]
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cursor_descr = [
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("one", "varchar", None, None, None, None, True),
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("two", "int", None, None, None, None, True),
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]
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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(results.columns[0]["type"], "VARCHAR")
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self.assertEqual(results.columns[1]["type"], "INT")
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def test_empty_data(self):
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data = []
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cursor_descr = [
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("emptyone", "varchar", None, None, None, None, True),
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("emptytwo", "int", None, None, None, None, True),
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]
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results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
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self.assertEqual(results.columns, [])
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