# Copyright (c) 2023 Baidu, Inc. All Rights Reserved.
#
# Licensed 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.
"""
base local data operator class
"""
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Union
from qianfan.utils import log_error
from qianfan.utils.pydantic import BaseModel
[docs]class BaseLocalFilterOperator(ABC):
"""base class for data filtering"""
def __init__(
self, filter_column: str, text_language: str = "ZH", **kwargs: Any
) -> None:
self.filter_column = filter_column
self.text_language = text_language
@abstractmethod
def __call__(
self,
entry: Union[Dict[str, Any], List[Dict[str, Any]], str],
*args: Any,
**kwargs: Any,
) -> bool:
"""filter func"""
def _get_real_document_from_entry(
self, entry: Union[Dict[str, Any], List[Dict[str, Any]], str]
) -> str:
if isinstance(entry, dict):
return entry[self.filter_column]
if isinstance(entry, str):
return entry
if isinstance(entry, list):
err_msg = (
"can't filter a list, please call unpack() of dataset object firstly"
" before filtering"
)
log_error(err_msg)
raise ValueError(err_msg)
err_msg = f"unexpected entry type {type(entry)} for filtering"
log_error(err_msg)
raise ValueError(err_msg)
[docs]class BaseLocalMapOperator(BaseModel, ABC):
"""base class for data mapping"""
@abstractmethod
def __call__(
self,
entry: Union[Dict[str, Any], List[Dict[str, Any]], str],
*args: Any,
**kwargs: Any,
) -> Dict[str, Any]:
"""mapping func"""