=begin #Datadog API V2 Collection #Collection of all Datadog Public endpoints. The version of the OpenAPI document: 1.0 Contact: support@datadoghq.com Generated by: https://github.com/DataDog/datadog-api-client-ruby/tree/master/.generator Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License. This product includes software developed at Datadog (https://www.datadoghq.com/). Copyright 2020-Present Datadog, Inc. =end require 'date' require 'time' module DatadogAPIClient::V2 # Options on new value rules. class SecurityMonitoringRuleNewValueOptions include BaseGenericModel # Whether the object has unparsed attributes # @!visibility private attr_accessor :_unparsed # The duration in days after which a learned value is forgotten. attr_accessor :forget_after # The duration in days during which values are learned, and after which signals will be generated for values that # weren't learned. If set to 0, a signal will be generated for all new values after the first value is learned. attr_accessor :learning_duration # The learning method used to determine when signals should be generated for values that weren't learned. attr_accessor :learning_method # A number of occurrences after which signals will be generated for values that weren't learned. attr_accessor :learning_threshold # Attribute mapping from ruby-style variable name to JSON key. # @!visibility private def self.attribute_map { :'forget_after' => :'forgetAfter', :'learning_duration' => :'learningDuration', :'learning_method' => :'learningMethod', :'learning_threshold' => :'learningThreshold' } end # Attribute type mapping. # @!visibility private def self.openapi_types { :'forget_after' => :'SecurityMonitoringRuleNewValueOptionsForgetAfter', :'learning_duration' => :'SecurityMonitoringRuleNewValueOptionsLearningDuration', :'learning_method' => :'SecurityMonitoringRuleNewValueOptionsLearningMethod', :'learning_threshold' => :'SecurityMonitoringRuleNewValueOptionsLearningThreshold' } end # List of attributes with nullable: true # @!visibility private def self.openapi_nullable Set.new([ ]) end # Initializes the object # @param attributes [Hash] Model attributes in the form of hash # @!visibility private def initialize(attributes = {}) if (!attributes.is_a?(Hash)) fail ArgumentError, "The input argument (attributes) must be a hash in `DatadogAPIClient::V2::SecurityMonitoringRuleNewValueOptions` initialize method" end # check to see if the attribute exists and convert string to symbol for hash key attributes = attributes.each_with_object({}) { |(k, v), h| if (!self.class.attribute_map.key?(k.to_sym)) fail ArgumentError, "`#{k}` is not a valid attribute in `DatadogAPIClient::V2::SecurityMonitoringRuleNewValueOptions`. Please check the name to make sure it's valid. List of attributes: " + self.class.attribute_map.keys.inspect end h[k.to_sym] = v } if attributes.key?(:'forget_after') self.forget_after = attributes[:'forget_after'] end if attributes.key?(:'learning_duration') self.learning_duration = attributes[:'learning_duration'] end if attributes.key?(:'learning_method') self.learning_method = attributes[:'learning_method'] end if attributes.key?(:'learning_threshold') self.learning_threshold = attributes[:'learning_threshold'] end end # Check to see if the all the properties in the model are valid # @return true if the model is valid # @!visibility private def valid? true end # Checks equality by comparing each attribute. # @param o [Object] Object to be compared # @!visibility private def ==(o) return true if self.equal?(o) self.class == o.class && forget_after == o.forget_after && learning_duration == o.learning_duration && learning_method == o.learning_method && learning_threshold == o.learning_threshold end # Calculates hash code according to all attributes. # @return [Integer] Hash code # @!visibility private def hash [forget_after, learning_duration, learning_method, learning_threshold].hash end end end