mirror of https://github.com/apache/superset.git
84 lines
2.8 KiB
Python
84 lines
2.8 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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from __future__ import annotations
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from abc import ABC, abstractmethod
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from typing import TYPE_CHECKING
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from pandas import DataFrame
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from sqlalchemy.inspection import inspect
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from tests.common.logger_utils import log
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from tests.example_data.data_loading.base_data_loader import DataLoader
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if TYPE_CHECKING:
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from sqlalchemy.engine import Engine
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from tests.example_data.data_loading.data_definitions.types import Table
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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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@log
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class PandasDataLoader(DataLoader):
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_db_engine: Engine
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_configurations: PandasLoaderConfigurations
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_table_to_df_convertor: TableToDfConvertor
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def __init__(
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self,
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db_engine: Engine,
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config: PandasLoaderConfigurations,
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table_to_df_convertor: TableToDfConvertor,
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) -> None:
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self._db_engine = db_engine
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self._configurations = config
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self._table_to_df_convertor = table_to_df_convertor
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def load_table(self, table: Table) -> None:
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df = self._table_to_df_convertor.convert(table)
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df.to_sql(
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table.table_name,
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self._db_engine,
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if_exists=self._configurations.if_exists,
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chunksize=self._configurations.chunksize,
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index=self._configurations.index,
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dtype=self._take_data_types(table),
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method=self._configurations.method,
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schema=self._detect_schema_name(),
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)
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def _detect_schema_name(self) -> str | None:
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return inspect(self._db_engine).default_schema_name
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def _take_data_types(self, table: Table) -> dict[str, str] | None:
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if metadata_table := table.table_metadata:
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types = metadata_table.types
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if types:
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return types
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return None
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def remove_table(self, table_name: str) -> None:
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self._db_engine.execute(f"DROP TABLE IF EXISTS {table_name}")
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class TableToDfConvertor(ABC):
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@abstractmethod
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def convert(self, table: Table) -> DataFrame:
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...
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