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from __future__ import annotations
from typing import Callable, TYPE_CHECKING
from unittest.mock import MagicMock, Mock, PropertyMock
from pytest import fixture
from tests.example_data.data_loading.pandas.pandas_data_loader import PandasDataLoader
from tests.example_data.data_loading.pandas.pands_data_loading_conf import (
PandasLoaderConfigurations,
)
from tests.example_data.data_loading.pandas.table_df_convertor import (
TableToDfConvertorImpl,
)
from tests.integration_tests.test_app import app
SUPPORT_DATETIME_TYPE = "support_datetime_type"
if TYPE_CHECKING:
from sqlalchemy.engine import Engine
from superset.connectors.sqla.models import Database
from tests.example_data.data_loading.base_data_loader import DataLoader
from tests.example_data.data_loading.pandas.pandas_data_loader import (
TableToDfConvertor,
)
pytest_plugins = "tests.fixtures"
PRESTO = "presto"
BACKEND_PROPERTY_VALUE = "sqlite"
@fixture(scope="session")
def example_db_provider() -> Callable[[], Database]:
def mock_provider() -> Mock:
mock = MagicMock()
type(mock).backend = PropertyMock(return_value=BACKEND_PROPERTY_VALUE)
return mock
return mock_provider
@fixture(scope="session")
def example_db_engine(example_db_provider: Callable[[], Database]) -> Engine:
with app.app_context():
with example_db_provider().get_sqla_engine() as engine:
return engine
@fixture(scope="session")
def pandas_loader_configuration(
support_datetime_type,
) -> PandasLoaderConfigurations:
return PandasLoaderConfigurations.make_from_dict(
{SUPPORT_DATETIME_TYPE: support_datetime_type}
)
@fixture(scope="session")
def support_datetime_type(example_db_provider: Callable[[], Database]) -> bool:
return example_db_provider().backend != PRESTO
@fixture(scope="session")
def table_to_df_convertor(
pandas_loader_configuration: PandasLoaderConfigurations,
) -> TableToDfConvertor:
return TableToDfConvertorImpl(
not pandas_loader_configuration.support_datetime_type,
pandas_loader_configuration.strftime,
)
@fixture(scope="session")
def data_loader(
example_db_engine: Engine,
pandas_loader_configuration: PandasLoaderConfigurations,
table_to_df_convertor: TableToDfConvertor,
) -> DataLoader:
return PandasDataLoader(
example_db_engine, pandas_loader_configuration, table_to_df_convertor
)