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# coding: utf-8 # Copyright (c) 2016, 2026, 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: 20181201 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 TemplateAssociationAnalyticsSummary(object): """ The summary of template association analytics data. """ #: A constant which can be used with the metric_name property of a TemplateAssociationAnalyticsSummary. #: This constant has a value of "TEMPLATE_ASSOCIATION_STATS" METRIC_NAME_TEMPLATE_ASSOCIATION_STATS = "TEMPLATE_ASSOCIATION_STATS" def __init__(self, kwargs): """ Initializes a new TemplateAssociationAnalyticsSummary object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param metric_name: The value to assign to the metric_name property of this TemplateAssociationAnalyticsSummary. Allowed values for this property are: "TEMPLATE_ASSOCIATION_STATS", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type metric_name: str :param dimensions: The value to assign to the dimensions property of this TemplateAssociationAnalyticsSummary. :type dimensions: oci.data_safe.models.TemplateAssociationAnalyticsDimensions :param count: The value to assign to the count property of this TemplateAssociationAnalyticsSummary. :type count: int """ self.swagger_types = { 'metric_name': 'str', 'dimensions': 'TemplateAssociationAnalyticsDimensions', 'count': 'int' } self.attribute_map = { 'metric_name': 'metricName', 'dimensions': 'dimensions', 'count': 'count' } self._metric_name = None self._dimensions = None self._count = None @property def metric_name(self): """ [Required] Gets the metric_name of this TemplateAssociationAnalyticsSummary. The name of the aggregation metric. Allowed values for this property are: "TEMPLATE_ASSOCIATION_STATS", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The metric_name of this TemplateAssociationAnalyticsSummary. :rtype: str """ return self._metric_name @metric_name.setter def metric_name(self, metric_name): """ Sets the metric_name of this TemplateAssociationAnalyticsSummary. The name of the aggregation metric. :param metric_name: The metric_name of this TemplateAssociationAnalyticsSummary. :type: str """ allowed_values = ["TEMPLATE_ASSOCIATION_STATS"] if not value_allowed_none_or_none_sentinel(metric_name, allowed_values): metric_name = 'UNKNOWN_ENUM_VALUE' self._metric_name = metric_name @property def dimensions(self): """ Gets the dimensions of this TemplateAssociationAnalyticsSummary. :return: The dimensions of this TemplateAssociationAnalyticsSummary. :rtype: oci.data_safe.models.TemplateAssociationAnalyticsDimensions """ return self._dimensions @dimensions.setter def dimensions(self, dimensions): """ Sets the dimensions of this TemplateAssociationAnalyticsSummary. :param dimensions: The dimensions of this TemplateAssociationAnalyticsSummary. :type: oci.data_safe.models.TemplateAssociationAnalyticsDimensions """ self._dimensions = dimensions @property def count(self): """ [Required]** Gets the count of this TemplateAssociationAnalyticsSummary. The total count for the aggregation metric. :return: The count of this TemplateAssociationAnalyticsSummary. :rtype: int """ return self._count @count.setter def count(self, count): """ Sets the count of this TemplateAssociationAnalyticsSummary. The total count for the aggregation metric. :param count: The count of this TemplateAssociationAnalyticsSummary. :type: int """ self._count = count 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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