mirror of https://github.com/apache/superset.git
104 lines
3.4 KiB
Python
104 lines
3.4 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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#
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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 __future__ import annotations
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from typing import Callable, TYPE_CHECKING
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from unittest.mock import MagicMock, Mock, PropertyMock
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from pytest import fixture
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from tests.example_data.data_loading.pandas.pandas_data_loader import PandasDataLoader
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from tests.example_data.data_loading.pandas.pands_data_loading_conf import (
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PandasLoaderConfigurations,
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)
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from tests.example_data.data_loading.pandas.table_df_convertor import (
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TableToDfConvertorImpl,
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)
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SUPPORT_DATETIME_TYPE = "support_datetime_type"
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if TYPE_CHECKING:
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from sqlalchemy.engine import Engine
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from superset.connectors.sqla.models import Database
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from tests.example_data.data_loading.base_data_loader import DataLoader
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from tests.example_data.data_loading.pandas.pandas_data_loader import (
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TableToDfConvertor,
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)
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pytest_plugins = "tests.fixtures"
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PRESTO = "presto"
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BACKEND_PROPERTY_VALUE = "sqlite"
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@fixture(scope="session")
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def example_db_provider() -> Callable[[], Database]:
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def mock_provider() -> Mock:
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mock = MagicMock()
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type(mock).backend = PropertyMock(return_value=BACKEND_PROPERTY_VALUE)
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return mock
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return mock_provider
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@fixture(scope="session")
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def example_db_engine(example_db_provider: Callable[[], Database]) -> Engine:
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return example_db_provider().get_sqla_engine()
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@fixture(scope="session")
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def pandas_loader_configuration(support_datetime_type,) -> PandasLoaderConfigurations:
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return PandasLoaderConfigurations.make_from_dict(
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{SUPPORT_DATETIME_TYPE: support_datetime_type}
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)
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@fixture(scope="session")
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def support_datetime_type(example_db_provider: Callable[[], Database]) -> bool:
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return example_db_provider().backend != PRESTO
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@fixture(scope="session")
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def table_to_df_convertor(
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pandas_loader_configuration: PandasLoaderConfigurations,
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) -> TableToDfConvertor:
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return TableToDfConvertorImpl(
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not pandas_loader_configuration.support_datetime_type,
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pandas_loader_configuration.strftime,
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)
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@fixture(scope="session")
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def data_loader(
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example_db_engine: Engine,
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pandas_loader_configuration: PandasLoaderConfigurations,
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table_to_df_convertor: TableToDfConvertor,
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) -> DataLoader:
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return PandasDataLoader(
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example_db_engine, pandas_loader_configuration, table_to_df_convertor
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)
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