-
Notifications
You must be signed in to change notification settings - Fork 20
Expand file tree
/
Copy pathlogs_pipeline_processor.rb
More file actions
191 lines (160 loc) · 5.52 KB
/
Copy pathlogs_pipeline_processor.rb
File metadata and controls
191 lines (160 loc) · 5.52 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
=begin
#Datadog API V1 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::V1
# Nested Pipelines are pipelines within a pipeline. Use Nested Pipelines to split the processing into two steps.
# For example, first use a high-level filtering such as team and then a second level of filtering based on the
# integration, service, or any other tag or attribute.
#
# A pipeline can contain Nested Pipelines and Processors whereas a Nested Pipeline can only contain Processors.
class LogsPipelineProcessor
include BaseGenericModel
# A description of the pipeline.
attr_accessor :description
# Filter for logs.
attr_accessor :filter
# Whether or not the processor is enabled.
attr_accessor :is_enabled
# Name of the processor.
attr_accessor :name
# Ordered list of processors in this pipeline.
attr_accessor :processors
# A list of tags associated with the pipeline.
attr_accessor :tags
# Type of logs pipeline processor.
attr_reader :type
attr_accessor :additional_properties
# Attribute mapping from ruby-style variable name to JSON key.
# @!visibility private
def self.attribute_map
{
:'description' => :'description',
:'filter' => :'filter',
:'is_enabled' => :'is_enabled',
:'name' => :'name',
:'processors' => :'processors',
:'tags' => :'tags',
:'type' => :'type'
}
end
# Attribute type mapping.
# @!visibility private
def self.openapi_types
{
:'description' => :'String',
:'filter' => :'LogsFilter',
:'is_enabled' => :'Boolean',
:'name' => :'String',
:'processors' => :'Array<LogsProcessor>',
:'tags' => :'Array<String>',
:'type' => :'LogsPipelineProcessorType'
}
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::V1::LogsPipelineProcessor` initialize method"
end
self.additional_properties = {}
# 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))
self.additional_properties[k.to_sym] = v
else
h[k.to_sym] = v
end
}
if attributes.key?(:'description')
self.description = attributes[:'description']
end
if attributes.key?(:'filter')
self.filter = attributes[:'filter']
end
if attributes.key?(:'is_enabled')
self.is_enabled = attributes[:'is_enabled']
end
if attributes.key?(:'name')
self.name = attributes[:'name']
end
if attributes.key?(:'processors')
if (value = attributes[:'processors']).is_a?(Array)
self.processors = value
end
end
if attributes.key?(:'tags')
if (value = attributes[:'tags']).is_a?(Array)
self.tags = value
end
end
if attributes.key?(:'type')
self.type = attributes[:'type']
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 @type.nil?
true
end
# Custom attribute writer method with validation
# @param type [Object] Object to be assigned
# @!visibility private
def type=(type)
if type.nil?
fail ArgumentError, 'invalid value for "type", type cannot be nil.'
end
@type = type
end
# Returns the object in the form of hash, with additionalProperties support.
# @return [Hash] Returns the object in the form of hash
# @!visibility private
def to_hash
hash = {}
self.class.attribute_map.each_pair do |attr, param|
value = self.send(attr)
if value.nil?
is_nullable = self.class.openapi_nullable.include?(attr)
next if !is_nullable || (is_nullable && !instance_variable_defined?(:"@#{attr}"))
end
hash[param] = _to_hash(value)
end
self.additional_properties.each_pair do |attr, value|
hash[attr] = value
end
hash
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 &&
description == o.description &&
filter == o.filter &&
is_enabled == o.is_enabled &&
name == o.name &&
processors == o.processors &&
tags == o.tags &&
type == o.type &&
additional_properties == o.additional_properties
end
# Calculates hash code according to all attributes.
# @return [Integer] Hash code
# @!visibility private
def hash
[description, filter, is_enabled, name, processors, tags, type, additional_properties].hash
end
end
end