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73 lines
2.5 KiB
Python
73 lines
2.5 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=import-outside-toplevel
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from typing import List, Optional
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from pytest_mock import MockFixture
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from sqlalchemy.engine.reflection import Inspector
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def test_get_metrics(mocker: MockFixture) -> None:
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"""
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Tests for ``get_metrics``.
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"""
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from superset.db_engine_specs.base import MetricType
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from superset.db_engine_specs.sqlite import SqliteEngineSpec
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from superset.models.core import Database
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database = Database(database_name="my_database", sqlalchemy_uri="sqlite://")
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assert database.get_metrics("table") == [
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{
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"expression": "COUNT(*)",
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"metric_name": "count",
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"metric_type": "count",
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"verbose_name": "COUNT(*)",
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}
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]
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class CustomSqliteEngineSpec(SqliteEngineSpec):
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@classmethod
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def get_metrics(
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cls,
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database: Database,
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inspector: Inspector,
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table_name: str,
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schema: Optional[str],
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) -> List[MetricType]:
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return [
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{
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"expression": "COUNT(DISTINCT user_id)",
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"metric_name": "count_distinct_user_id",
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"metric_type": "count_distinct",
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"verbose_name": "COUNT(DISTINCT user_id)",
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},
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]
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database.get_db_engine_spec_for_backend = mocker.MagicMock( # type: ignore
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return_value=CustomSqliteEngineSpec
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)
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assert database.get_metrics("table") == [
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{
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"expression": "COUNT(DISTINCT user_id)",
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"metric_name": "count_distinct_user_id",
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"metric_type": "count_distinct",
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"verbose_name": "COUNT(DISTINCT user_id)",
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},
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]
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