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# 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: 20200601 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 LogAnalyticsSourceMetric(object): """ LogAnalyticsSourceMetric """ def __init__(self, **kwargs): """ Initializes a new LogAnalyticsSourceMetric object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param is_metric_source_enabled: The value to assign to the is_metric_source_enabled property of this LogAnalyticsSourceMetric. :type is_metric_source_enabled: bool :param metric_name: The value to assign to the metric_name property of this LogAnalyticsSourceMetric. :type metric_name: str :param source_name: The value to assign to the source_name property of this LogAnalyticsSourceMetric. :type source_name: str :param entity_type: The value to assign to the entity_type property of this LogAnalyticsSourceMetric. :type entity_type: str """ self.swagger_types = { 'is_metric_source_enabled': 'bool', 'metric_name': 'str', 'source_name': 'str', 'entity_type': 'str' } self.attribute_map = { 'is_metric_source_enabled': 'isMetricSourceEnabled', 'metric_name': 'metricName', 'source_name': 'sourceName', 'entity_type': 'entityType' } self._is_metric_source_enabled = None self._metric_name = None self._source_name = None self._entity_type = None @property def is_metric_source_enabled(self): """ Gets the is_metric_source_enabled of this LogAnalyticsSourceMetric. A flag specifying whether or not the metric source is enabled. :return: The is_metric_source_enabled of this LogAnalyticsSourceMetric. :rtype: bool """ return self._is_metric_source_enabled @is_metric_source_enabled.setter def is_metric_source_enabled(self, is_metric_source_enabled): """ Sets the is_metric_source_enabled of this LogAnalyticsSourceMetric. A flag specifying whether or not the metric source is enabled. :param is_metric_source_enabled: The is_metric_source_enabled of this LogAnalyticsSourceMetric. :type: bool """ self._is_metric_source_enabled = is_metric_source_enabled @property def metric_name(self): """ Gets the metric_name of this LogAnalyticsSourceMetric. The metric name. :return: The metric_name of this LogAnalyticsSourceMetric. :rtype: str """ return self._metric_name @metric_name.setter def metric_name(self, metric_name): """ Sets the metric_name of this LogAnalyticsSourceMetric. The metric name. :param metric_name: The metric_name of this LogAnalyticsSourceMetric. :type: str """ self._metric_name = metric_name @property def source_name(self): """ Gets the source_name of this LogAnalyticsSourceMetric. The source internal name. :return: The source_name of this LogAnalyticsSourceMetric. :rtype: str """ return self._source_name @source_name.setter def source_name(self, source_name): """ Sets the source_name of this LogAnalyticsSourceMetric. The source internal name. :param source_name: The source_name of this LogAnalyticsSourceMetric. :type: str """ self._source_name = source_name @property def entity_type(self): """ Gets the entity_type of this LogAnalyticsSourceMetric. The entity type. :return: The entity_type of this LogAnalyticsSourceMetric. :rtype: str """ return self._entity_type @entity_type.setter def entity_type(self, entity_type): """ Sets the entity_type of this LogAnalyticsSourceMetric. The entity type. :param entity_type: The entity_type of this LogAnalyticsSourceMetric. :type: str """ self._entity_type = entity_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
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