# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from __future__ import annotations from typing import Optional, TYPE_CHECKING from pandas import DataFrame from tests.common.logger_utils import log from tests.example_data.data_loading.pandas.pandas_data_loader import TableToDfConvertor if TYPE_CHECKING: from tests.example_data.data_loading.data_definitions.types import Table @log class TableToDfConvertorImpl(TableToDfConvertor): convert_datetime_to_str: bool _time_format: Optional[str] def __init__( self, convert_ds_to_datetime: bool, time_format: Optional[str] = None ) -> None: self.convert_datetime_to_str = convert_ds_to_datetime self._time_format = time_format def convert(self, table: Table) -> DataFrame: df_rv = DataFrame(table.data) if self._should_convert_datetime_to_str(): df_rv.ds = df_rv.ds.dt.strftime(self._time_format) return df_rv def _should_convert_datetime_to_str(self) -> bool: return self.convert_datetime_to_str and self._time_format is not None