Source code for mindmeld.text_preparation.preprocessors

# -*- coding: utf-8 -*-
#
# Copyright (c) 2015 Cisco Systems, Inc. and others.  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.
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"""
This module contains a preprocessor base class.
"""
from abc import ABC, abstractmethod


[docs]class Preprocessor(ABC): """ Base class for Preprocessor object """
[docs] @abstractmethod def process(self, text): """ Args: text (str) Returns: (str) """ pass
[docs] def tojson(self): """ Method defined to obtain recursive JSON representation of a TextPreparationPipeline. Args: None. Returns: JSON representation of Preprocessor (dict) . """ return {self.__class__.__name__: None}
[docs]class NoOpPreprocessor(Preprocessor): """ NoOpPreprocessor object """
[docs] def process(self, text): """ Args: text (str) Returns: (str) """ return text
[docs]class PreprocessorFactory: """Preprocessor Factory Class"""
[docs] @staticmethod def get_preprocessor(preprocessor: str): """A static method to get a Preprocessor Args: preprocessor (str): Name of the desired Preprocessor class Returns: (Preprocessor): Preprocessor Class """ if preprocessor == NoOpPreprocessor.__name__: return NoOpPreprocessor() raise TypeError(f"{preprocessor} is not a valid Preprocessor type.")