mirror of https://github.com/apache/superset.git
132 lines
6.1 KiB
Python
132 lines
6.1 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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# 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 typing import Optional
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import pytest
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from sqlalchemy.engine import create_engine
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from superset.constants import TimeGrain
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from tests.unit_tests.db_engine_specs.utils import assert_convert_dttm
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from tests.unit_tests.fixtures.common import dttm
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@pytest.mark.parametrize(
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"target_type,expected_result",
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[
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("Text", "'2019-01-02 03:04:05'"),
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("DateTime", "'2019-01-02 03:04:05'"),
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("TimeStamp", "'2019-01-02 03:04:05'"),
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("Other", None),
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],
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)
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def test_convert_dttm(
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target_type: str,
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expected_result: Optional[str],
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dttm: datetime,
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) -> None:
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from superset.db_engine_specs.sqlite import SqliteEngineSpec as spec
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assert_convert_dttm(spec, target_type, expected_result, dttm)
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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", TimeGrain.SECOND, "2022-05-04 05:06:07"),
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("2022-05-04T05:06:07.89Z", TimeGrain.FIVE_SECONDS, "2022-05-04 05:06:05"),
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("2022-05-04T05:06:37.89Z", TimeGrain.THIRTY_SECONDS, "2022-05-04 05:06:30"),
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("2022-05-04T05:06:07.89Z", TimeGrain.MINUTE, "2022-05-04 05:06:00"),
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("2022-05-04T05:06:07.89Z", TimeGrain.FIVE_MINUTES, "2022-05-04 05:05:00"),
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("2022-05-04T05:36:07.89Z", TimeGrain.TEN_MINUTES, "2022-05-04 05:30:00"),
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("2022-05-04T05:46:07.89Z", TimeGrain.FIFTEEN_MINUTES, "2022-05-04 05:45:00"),
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("2022-05-04T05:36:07.89Z", TimeGrain.THIRTY_MINUTES, "2022-05-04 05:30:00"),
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("2022-05-04T05:36:07.89Z", TimeGrain.HALF_HOUR, "2022-05-04 05:30:00"),
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("2022-05-04T05:06:07.89Z", TimeGrain.HOUR, "2022-05-04 05:00:00"),
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("2022-05-04T07:06:07.89Z", TimeGrain.SIX_HOURS, "2022-05-04 06:00:00"),
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("2022-05-04T05:06:07.89Z", TimeGrain.DAY, "2022-05-04 00:00:00"),
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("2022-05-04T05:06:07.89Z", TimeGrain.WEEK, "2022-05-01 00:00:00"),
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("2022-05-04T05:06:07.89Z", TimeGrain.MONTH, "2022-05-01 00:00:00"),
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("2022-05-04T05:06:07.89Z", TimeGrain.YEAR, "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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(
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"2022-05-04T05:06:07.89Z",
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TimeGrain.WEEK_ENDING_SATURDAY,
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"2022-05-07 00:00:00",
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),
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(
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"2022-05-04T05:06:07.89Z",
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TimeGrain.WEEK_ENDING_SUNDAY,
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"2022-05-08 00:00:00",
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),
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(
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"2022-05-04T05:06:07.89Z",
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TimeGrain.WEEK_STARTING_SUNDAY,
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"2022-05-01 00:00:00",
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),
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(
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"2022-05-04T05:06:07.89Z",
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TimeGrain.WEEK_STARTING_MONDAY,
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"2022-05-02 00:00:00",
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),
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("2022-01-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-01-01 00:00:00"),
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("2022-02-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-01-01 00:00:00"),
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("2022-03-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-01-01 00:00:00"),
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("2022-04-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-04-01 00:00:00"),
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("2022-05-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-04-01 00:00:00"),
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("2022-06-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-04-01 00:00:00"),
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("2022-07-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-07-01 00:00:00"),
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("2022-08-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-07-01 00:00:00"),
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("2022-09-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-07-01 00:00:00"),
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("2022-10-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-10-01 00:00:00"),
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("2022-11-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-10-01 00:00:00"),
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("2022-12-04T05:06:07.89Z", TimeGrain.QUARTER_YEAR, "2022-10-01 00:00:00"),
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("2022-01-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-01-01 00:00:00"),
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("2022-02-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-01-01 00:00:00"),
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("2022-03-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-01-01 00:00:00"),
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("2022-04-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-04-01 00:00:00"),
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("2022-05-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-04-01 00:00:00"),
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("2022-06-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-04-01 00:00:00"),
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("2022-07-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-07-01 00:00:00"),
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("2022-08-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-07-01 00:00:00"),
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("2022-09-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-07-01 00:00:00"),
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("2022-10-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-10-01 00:00:00"),
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("2022-11-04T05:06:07.89Z", TimeGrain.QUARTER, "2022-10-01 00:00:00"),
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("2022-12-04T05:06:07.89Z", TimeGrain.QUARTER, "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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