=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 # A group-by rule. class CIAppPipelinesGroupBy include BaseGenericModel # Whether the object has unparsed attributes # @!visibility private attr_accessor :_unparsed # The name of the facet to use (required). attr_reader :facet # Used to perform a histogram computation (only for measure facets). # At most, 100 buckets are allowed, the number of buckets is `(max - min)/interval`. attr_accessor :histogram # The maximum buckets to return for this group-by. attr_accessor :limit # The value to use for logs that don't have the facet used to group-by. attr_accessor :missing # A sort rule. attr_accessor :sort # A resulting object to put the given computes in over all the matching records. attr_accessor :total # Attribute mapping from ruby-style variable name to JSON key. # @!visibility private def self.attribute_map { :'facet' => :'facet', :'histogram' => :'histogram', :'limit' => :'limit', :'missing' => :'missing', :'sort' => :'sort', :'total' => :'total' } end # Attribute type mapping. # @!visibility private def self.openapi_types { :'facet' => :'String', :'histogram' => :'CIAppGroupByHistogram', :'limit' => :'Integer', :'missing' => :'CIAppGroupByMissing', :'sort' => :'CIAppAggregateSort', :'total' => :'CIAppGroupByTotal' } 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::CIAppPipelinesGroupBy` 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::CIAppPipelinesGroupBy`. 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?(:'facet') self.facet = attributes[:'facet'] end if attributes.key?(:'histogram') self.histogram = attributes[:'histogram'] end if attributes.key?(:'limit') self.limit = attributes[:'limit'] end if attributes.key?(:'missing') self.missing = attributes[:'missing'] end if attributes.key?(:'sort') self.sort = attributes[:'sort'] end if attributes.key?(:'total') self.total = attributes[:'total'] 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? return false if @facet.nil? true end # Custom attribute writer method with validation # @param facet [Object] Object to be assigned # @!visibility private def facet=(facet) if facet.nil? fail ArgumentError, 'invalid value for "facet", facet cannot be nil.' end @facet = facet 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 && facet == o.facet && histogram == o.histogram && limit == o.limit && missing == o.missing && sort == o.sort && total == o.total end # Calculates hash code according to all attributes. # @return [Integer] Hash code # @!visibility private def hash [facet, histogram, limit, missing, sort, total].hash end end end