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Edit: document_feature.py
# coding: utf-8 # Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20220125 from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class DocumentFeature(object): """ The type of document analysis. """ #: A constant which can be used with the feature_type property of a DocumentFeature. #: This constant has a value of "LANGUAGE_CLASSIFICATION" FEATURE_TYPE_LANGUAGE_CLASSIFICATION = "LANGUAGE_CLASSIFICATION" #: A constant which can be used with the feature_type property of a DocumentFeature. #: This constant has a value of "TEXT_DETECTION" FEATURE_TYPE_TEXT_DETECTION = "TEXT_DETECTION" #: A constant which can be used with the feature_type property of a DocumentFeature. #: This constant has a value of "TABLE_DETECTION" FEATURE_TYPE_TABLE_DETECTION = "TABLE_DETECTION" #: A constant which can be used with the feature_type property of a DocumentFeature. #: This constant has a value of "KEY_VALUE_DETECTION" FEATURE_TYPE_KEY_VALUE_DETECTION = "KEY_VALUE_DETECTION" #: A constant which can be used with the feature_type property of a DocumentFeature. #: This constant has a value of "DOCUMENT_CLASSIFICATION" FEATURE_TYPE_DOCUMENT_CLASSIFICATION = "DOCUMENT_CLASSIFICATION" def __init__(self, **kwargs): """ Initializes a new DocumentFeature object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class: * :class:`~oci.ai_vision.models.DocumentTableDetectionFeature` * :class:`~oci.ai_vision.models.DocumentKeyValueDetectionFeature` * :class:`~oci.ai_vision.models.DocumentClassificationFeature` * :class:`~oci.ai_vision.models.DocumentTextDetectionFeature` * :class:`~oci.ai_vision.models.DocumentLanguageClassificationFeature` The following keyword arguments are supported (corresponding to the getters/setters of this class): :param feature_type: The value to assign to the feature_type property of this DocumentFeature. Allowed values for this property are: "LANGUAGE_CLASSIFICATION", "TEXT_DETECTION", "TABLE_DETECTION", "KEY_VALUE_DETECTION", "DOCUMENT_CLASSIFICATION", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type feature_type: str """ self.swagger_types = { 'feature_type': 'str' } self.attribute_map = { 'feature_type': 'featureType' } self._feature_type = None @staticmethod def get_subtype(object_dictionary): """ Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype. """ type = object_dictionary['featureType'] if type == 'TABLE_DETECTION': return 'DocumentTableDetectionFeature' if type == 'KEY_VALUE_DETECTION': return 'DocumentKeyValueDetectionFeature' if type == 'DOCUMENT_CLASSIFICATION': return 'DocumentClassificationFeature' if type == 'TEXT_DETECTION': return 'DocumentTextDetectionFeature' if type == 'LANGUAGE_CLASSIFICATION': return 'DocumentLanguageClassificationFeature' else: return 'DocumentFeature' @property def feature_type(self): """ **[Required]** Gets the feature_type of this DocumentFeature. The type of document analysis requested. The allowed values are: - `LANGUAGE_CLASSIFICATION`: Detect the language. - `TEXT_DETECTION`: Recognize text. - `TABLE_DETECTION`: Detect and extract data in tables. - `KEY_VALUE_DETECTION`: Extract form fields. - `DOCUMENT_CLASSIFICATION`: Identify the type of document. Allowed values for this property are: "LANGUAGE_CLASSIFICATION", "TEXT_DETECTION", "TABLE_DETECTION", "KEY_VALUE_DETECTION", "DOCUMENT_CLASSIFICATION", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The feature_type of this DocumentFeature. :rtype: str """ return self._feature_type @feature_type.setter def feature_type(self, feature_type): """ Sets the feature_type of this DocumentFeature. The type of document analysis requested. The allowed values are: - `LANGUAGE_CLASSIFICATION`: Detect the language. - `TEXT_DETECTION`: Recognize text. - `TABLE_DETECTION`: Detect and extract data in tables. - `KEY_VALUE_DETECTION`: Extract form fields. - `DOCUMENT_CLASSIFICATION`: Identify the type of document. :param feature_type: The feature_type of this DocumentFeature. :type: str """ allowed_values = ["LANGUAGE_CLASSIFICATION", "TEXT_DETECTION", "TABLE_DETECTION", "KEY_VALUE_DETECTION", "DOCUMENT_CLASSIFICATION"] if not value_allowed_none_or_none_sentinel(feature_type, allowed_values): feature_type = 'UNKNOWN_ENUM_VALUE' self._feature_type = feature_type def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other