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147 lines
5.9 KiB
Python
147 lines
5.9 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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# pylint: disable=invalid-name, unused-argument, import-outside-toplevel, redefined-outer-name
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from datetime import datetime
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from unittest import mock
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import pytest
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from sqlalchemy.engine import create_engine
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from tests.unit_tests.fixtures.common import dttm
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def test_convert_dttm(dttm: datetime) -> None:
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from superset.db_engine_specs.sqlite import SqliteEngineSpec
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assert SqliteEngineSpec.convert_dttm("TEXT", dttm) == "'2019-01-02 03:04:05.678900'"
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def test_convert_dttm_lower(dttm: datetime) -> None:
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from superset.db_engine_specs.sqlite import SqliteEngineSpec
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assert SqliteEngineSpec.convert_dttm("text", dttm) == "'2019-01-02 03:04:05.678900'"
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def test_convert_dttm_invalid_type(dttm: datetime) -> None:
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from superset.db_engine_specs.sqlite import SqliteEngineSpec
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assert SqliteEngineSpec.convert_dttm("other", dttm) is None
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def test_get_all_datasource_names_table() -> None:
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from superset.db_engine_specs.sqlite import SqliteEngineSpec
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database = mock.MagicMock()
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database.get_all_schema_names.return_value = ["schema1"]
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table_names = [("table1", "schema1"), ("table2", "schema1")]
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get_tables = mock.MagicMock(return_value=table_names)
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database.get_all_table_names_in_schema = get_tables
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result = SqliteEngineSpec.get_all_datasource_names(database, "table")
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assert result == table_names
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get_tables.assert_called_once_with(
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schema="schema1",
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force=True,
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cache=database.table_cache_enabled,
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cache_timeout=database.table_cache_timeout,
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)
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def test_get_all_datasource_names_view() -> None:
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from superset.db_engine_specs.sqlite import SqliteEngineSpec
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database = mock.MagicMock()
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database.get_all_schema_names.return_value = ["schema1"]
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views_names = [("view1", "schema1"), ("view2", "schema1")]
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get_views = mock.MagicMock(return_value=views_names)
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database.get_all_view_names_in_schema = get_views
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result = SqliteEngineSpec.get_all_datasource_names(database, "view")
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assert result == views_names
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get_views.assert_called_once_with(
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schema="schema1",
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force=True,
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cache=database.table_cache_enabled,
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cache_timeout=database.table_cache_timeout,
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)
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def test_get_all_datasource_names_invalid_type() -> None:
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from superset.db_engine_specs.sqlite import SqliteEngineSpec
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database = mock.MagicMock()
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database.get_all_schema_names.return_value = ["schema1"]
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invalid_type = "asdf"
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with pytest.raises(Exception):
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SqliteEngineSpec.get_all_datasource_names(database, invalid_type)
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@pytest.mark.parametrize(
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"dttm,grain,expected",
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[
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("2022-05-04T05:06:07.89Z", "PT1S", "2022-05-04 05:06:07"),
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("2022-05-04T05:06:07.89Z", "PT1M", "2022-05-04 05:06:00"),
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("2022-05-04T05:06:07.89Z", "PT1H", "2022-05-04 05:00:00"),
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("2022-05-04T05:06:07.89Z", "P1D", "2022-05-04 00:00:00"),
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("2022-05-04T05:06:07.89Z", "P1W", "2022-05-01 00:00:00"),
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("2022-05-04T05:06:07.89Z", "P1M", "2022-05-01 00:00:00"),
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("2022-05-04T05:06:07.89Z", "P1Y", "2022-01-01 00:00:00"),
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# ___________________________
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# | May 2022 |
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# |---------------------------|
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# | S | M | T | W | T | F | S |
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# |---+---+---+---+---+---+---|
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# | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
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# ---------------------------
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# week ending Saturday
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("2022-05-04T05:06:07.89Z", "P1W/1970-01-03T00:00:00Z", "2022-05-07 00:00:00"),
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# week ending Sunday
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("2022-05-04T05:06:07.89Z", "P1W/1970-01-04T00:00:00Z", "2022-05-08 00:00:00"),
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# week starting Sunday
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("2022-05-04T05:06:07.89Z", "1969-12-28T00:00:00Z/P1W", "2022-05-01 00:00:00"),
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# week starting Monday
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("2022-05-04T05:06:07.89Z", "1969-12-29T00:00:00Z/P1W", "2022-05-02 00:00:00"),
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# tests for quarter
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("2022-01-04T05:06:07.89Z", "P3M", "2022-01-01 00:00:00"),
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("2022-02-04T05:06:07.89Z", "P3M", "2022-01-01 00:00:00"),
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("2022-03-04T05:06:07.89Z", "P3M", "2022-01-01 00:00:00"),
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("2022-04-04T05:06:07.89Z", "P3M", "2022-04-01 00:00:00"),
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("2022-05-04T05:06:07.89Z", "P3M", "2022-04-01 00:00:00"),
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("2022-06-04T05:06:07.89Z", "P3M", "2022-04-01 00:00:00"),
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("2022-07-04T05:06:07.89Z", "P3M", "2022-07-01 00:00:00"),
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("2022-08-04T05:06:07.89Z", "P3M", "2022-07-01 00:00:00"),
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("2022-09-04T05:06:07.89Z", "P3M", "2022-07-01 00:00:00"),
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("2022-10-04T05:06:07.89Z", "P3M", "2022-10-01 00:00:00"),
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("2022-11-04T05:06:07.89Z", "P3M", "2022-10-01 00:00:00"),
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("2022-12-04T05:06:07.89Z", "P3M", "2022-10-01 00:00:00"),
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],
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)
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def test_time_grain_expressions(dttm: str, grain: str, expected: str) -> None:
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from superset.db_engine_specs.sqlite import SqliteEngineSpec
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engine = create_engine("sqlite://")
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connection = engine.connect()
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connection.execute("CREATE TABLE t (dttm DATETIME)")
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connection.execute("INSERT INTO t VALUES (?)", dttm)
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# pylint: disable=protected-access
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expression = SqliteEngineSpec._time_grain_expressions[grain].format(col="dttm")
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sql = f"SELECT {expression} FROM t"
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result = connection.execute(sql).scalar()
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assert result == expected
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